Jan Treur – författare & böcker

Dynamics and Management of Reasoning Processes

Inbunden, Engelska, 2001

1 084 kr

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This volume is focused on the dynamics of reasoning processes. It covers both the topics of the dynamics of reasoning, where reasoning is viewed as a process, and reasoning about dynamics, which must be understood as pertaining to how both designers of, and agents within dynamic systems may reason about these systems. In this volume real-life applications of the modelling techniques are also considered, as the research during the DRUMS (Defeasible Reasoning and Uncertainty Management Systems) project was aimed at bridging the gap between theory and practice. In order to give the book a broader perspective, a number of well-known researchers outside the project but working on similar topics, have been invited to contribute.

Agent-Based Defeasible Control in Dynamic Environments

AvJohn-Jules Ch. Meyer,Jan Treur

Inbunden, Engelska, 2002

2 161 kr

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This last volume of the Handbook of Defeasible Reasoning and Uncertainty Management Systems is - together with Volume 6 - devoted to the topics Reasoning and Dynamics, covering both the topics of "Dynamics of Reasoning", where reasoning is viewed as a process, and "Reasoning about Dynamics", which must be understood as pertaining to how both designers of, and agents within dynamic systems may reason about these systems. The present volume presents work done in this context and is more focused on "reasoning about dynamics", viz. how (human and artificial) agents reason about (systems in) dynamic environments in order to control them. In particular modelling frameworks and generic agent models for modelling these dynamic systems and formal approaches to these systems such as logics for agents and formal means to reason about agent-based and compositional systems, and action & change more in general are considered.

Del 251 - Studies in Systems, Decision and Control

Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

AvJan Treur

Inbunden, Engelska, 2019

1 084 kr

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This book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior. Networks by themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive networks are networks that change their structure; for example, connections in Mental Networks usually change due to learning, while connections in Social Networks change due to various social dynamics. For adaptive networks, separate procedural specifications are often added for the adaptation process. Accordingly, modelers have to deal with a less transparent, hybrid specification, part of which is often more at a programming level than at a modeling level. This book presents an overall Network-Oriented Modeling approach that makes designing adaptive network models much easier, because the adaptation process, too, is modeled in a neat, declarative, and conceptually transparent Network-OrientedModeling manner, like the network itself. Thanks to this approach, no procedural, algorithmic, or programming skills are needed to design complex adaptive network models. A dedicated software environment is available to run these adaptive network models from their high-level specifications. Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily. For example, this can be applied to model metaplasticity in cognitive neuroscience, or second-order adaptation in biological and social contexts. The book illustrates the usefulness of this approach via numerous examples of complex (higher-order) adaptive network models for a wide variety of biological, mental, and social processes.The book is suitable for multidisciplinary Master’s and Ph.D. students withoutassuming much prior knowledge, although also some elementary mathematical analysis is involved. Given the detailed information provided, it can be used as an introduction to Network-Oriented Modeling for adaptive networks. The material is ideally suited for teaching undergraduate and graduate students with multidisciplinary backgrounds or interests. Lecturers will find additional material such as slides, assignments, and software.

Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

AvJan Treur

E-bok

Engelska, 2019

1 416 kr

Läs direkt efter köp

This book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior. Networks by themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive networks are networks that change their structure; for example, connections in Mental Networks usually change due to learning, while connections in Social Networks change due to various social dynamics. For adaptive networks, separate procedural specifications are often added for the adaptation process. Accordingly, modelers have to deal with a less transparent, hybrid specification, part of which is often more at a programming level than at a modeling level.

This book presents an overall Network-Oriented Modeling approach that makes designing adaptive network models much easier, because the adaptation process, too, is modeled in a neat, declarative, and conceptually transparent Network-OrientedModeling manner, like the network itself. Thanks to this approach, no procedural, algorithmic, or programming skills are needed to design complex adaptive network models. A dedicated software environment is available to run these adaptive network models from their high-level specifications.

Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily. For example, this can be applied to model metaplasticity in cognitive neuroscience, or second-order adaptation in biological and social contexts. The book illustrates the usefulness of this approach via numerous examples of complex (higher-order) adaptive network models for a wide variety of biological, mental, and social processes.

The book is suitable for multidisciplinary Master’s and Ph.D. students withoutassuming much prior knowledge, although also some elementary mathematical analysis is involved. Given the detailed information provided, it can be used as an introduction to Network-Oriented Modeling for adaptive networks. The material is ideally suited for teaching undergraduate and graduate students with multidisciplinary backgrounds or interests. Lecturers will find additional material such as slides, assignments, and software.

Del 251 - Studies in Systems, Decision and Control

Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

AvJan Treur

Häftad, Engelska, 2020

1 084 kr

Skickas inom 10-15 vardagar

This book addresses the challenging topic of modeling adaptive networks, which often manifest inherently complex behavior. Networks by themselves can usually be modeled using a neat, declarative, and conceptually transparent Network-Oriented Modeling approach. In contrast, adaptive networks are networks that change their structure; for example, connections in Mental Networks usually change due to learning, while connections in Social Networks change due to various social dynamics. For adaptive networks, separate procedural specifications are often added for the adaptation process. Accordingly, modelers have to deal with a less transparent, hybrid specification, part of which is often more at a programming level than at a modeling level. This book presents an overall Network-Oriented Modeling approach that makes designing adaptive network models much easier, because the adaptation process, too, is modeled in a neat, declarative, and conceptually transparent Network-OrientedModeling manner, like the network itself. Thanks to this approach, no procedural, algorithmic, or programming skills are needed to design complex adaptive network models. A dedicated software environment is available to run these adaptive network models from their high-level specifications. Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily. For example, this can be applied to model metaplasticity in cognitive neuroscience, or second-order adaptation in biological and social contexts. The book illustrates the usefulness of this approach via numerous examples of complex (higher-order) adaptive network models for a wide variety of biological, mental, and social processes.The book is suitable for multidisciplinary Master’s and Ph.D. students withoutassuming much prior knowledge, although also some elementary mathematical analysis is involved. Given the detailed information provided, it can be used as an introduction to Network-Oriented Modeling for adaptive networks. The material is ideally suited for teaching undergraduate and graduate students with multidisciplinary backgrounds or interests. Lecturers will find additional material such as slides, assignments, and software.

Del 394 - Studies in Systems, Decision and Control

Mental Models and Their Dynamics, Adaptation, and Control

A Self-Modeling Network Modeling Approach

AvJan Treur,Laila Van Ments

Inbunden, Engelska, 2022

1 838 kr

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This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.

Mental Models and Their Dynamics, Adaptation, and Control

A Self-Modeling Network Modeling Approach

AvLaila Van Ments,Jan Treur

E-bok

Engelska, 2022

2 366 kr

Läs direkt efter köp

This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.

Del 394 - Studies in Systems, Decision and Control

Mental Models and Their Dynamics, Adaptation, and Control

A Self-Modeling Network Modeling Approach

AvJan Treur,Laila Van Ments

Häftad, Engelska, 2023

1 838 kr

Skickas inom 10-15 vardagar

This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.

Del 1463 - Communications in Computer and Information Science

Advances in Computational Collective Intelligence

13th International Conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29 – October 1, 2021, Proceedings

AvKrystian Wojtkiewicz,Jan Treurm. fl.

Häftad, Engelska, 2021

1 338 kr

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This book constitutes refereed proceedings of the 13th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2021, held in Kallithea, Rhodes, Greece, in October - November 2021. Due to the the COVID-19 pandemic the conference was held online. The 44 full papers and 14 short papers were thoroughly reviewed and selected from 231 submissions. The papers are organized according to the following topical sections: social networks and recommender systems; collective decision-making; computer vision techniques; innovations in intelligent systems; cybersecurity intelligent methods; data mining and machine learning; machine learning in real-world data; Internet of Things and computational technologies for collective intelligence; smart industry and management systems; low resource languages processing; computational intelligence for multimedia understanding.

Advances in Computational Collective Intelligence

13th International Conference, ICCCI 2021, Kallithea, Rhodes, Greece, September 29 – October 1, 2021, Proceedings

AvMarcin Maleszka,Elias Pimenidism. fl.

E-bok

Engelska, 2021

1 785 kr

Läs direkt efter köp

This book constitutes refereed proceedings of the 13th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2021, held in Kallithea, Rhodes, Greece, in October - November 2021. Due to the the COVID-19 pandemic the conference was held online. The 44 full papers and 14 short papers were thoroughly reviewed and selected from 231 submissions. The papers are organized according to the following topical sections: social networks and recommender systems; collective decision-making; computer vision techniques; innovations in intelligent systems; cybersecurity intelligent methods; data mining and machine learning; machine learning in real-world data; Internet of Things and computational technologies for collective intelligence; smart industry and management systems; low resource languages processing; computational intelligence for multimedia understanding.

Del 1653 - Communications in Computer and Information Science

Advances in Computational Collective Intelligence

14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings

AvCostin Bădică,Jan Treurm. fl.

Häftad, Engelska, 2022

1 054 kr

Skickas inom 10-15 vardagar

This book constitutes refereed proceedings of the 14th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 43 full papers and 15 short papers were thoroughly reviewed and selected from 421 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; natural language processing; deep learning; computational intelligence for multimedia understanding; computational intelligence in medical applications; applications for industry 4.0; experience enhanced intelligence to IoT and sensors; cooperative strategies for decision making and optimization; machine learning methods.

Advances in Computational Collective Intelligence

14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings

AvMarek Krotkiewicz,Bogumila Hnatkowskam. fl.

E-bok

Engelska, 2022

1 377 kr

Läs direkt efter köp

This book constitutes refereed proceedings of the 14th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 43 full papers and 15 short papers were thoroughly reviewed and selected from 421 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; natural language processing; deep learning; computational intelligence for multimedia understanding; computational intelligence in medical applications; applications for industry 4.0; experience enhanced intelligence to IoT and sensors; cooperative strategies for decision making and optimization; machine learning methods.

Gülay Canbaloğlu, Jan Treur, Anna Wiewiora - Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models, Inbunden

Del 468 - Studies in Systems, Decision and Control

Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

AvGülay Canbaloğlu,Jan Treurm. fl.

Inbunden, Engelska, 2023

1 946 kr

Skickas inom 10-15 vardagar

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent and explore different facets of multilevel learning. This book provides an overview of recent work on mathematical formalisation and computational simulation of multilevel organisational learning by exploiting the possibilities of self-modeling network models to address it. This is the first book addressing mathematical formalisation and computational modeling of multilevel organisational learning in a systematic, principled manner. A self-modeling network modeling approach from AI and Network Science is used where in a reflective manner some of the network nodes (called self-model nodes) represent parts of the network’s own network structure characteristics. This is supported by a dedicated software environment allowing to design and implement (higher-order) adaptive network models by specifying them in a conceptual manner at a high level of abstraction in a standard table format, without any need of algorithmic specification or programming. This modeling approach allows to model the development of knowledge in an organisational setting in a neatly structured manner at three different levels for the usage, adaptation and control, respectively, of the underlying mental models. Several examples of realistic cases of multilevel organisational learning are used to illustrate the approach. Crucial concepts such as the aggregation of mental models to form shared mental models out of individual mental models are addressed extensively. It is shown how to model context-sensitive control of organisational learning taking into account a wide variety of context factors, for example relating to levels of expertise of individuals or to leadership styles of managers involved. Mathematical equilibrium analysis of models of organisational learning is also addressed, among others allowing verification of correctness of the implemental models in comparison to their conceptual design. Chapters in this book also contribute to the Management and Business Sciences research by demonstrating how computational modeling can be used to capture complex management phenomena such as multilevel organizational learning. This book has a potential implication for practice by demonstrating how computational modeling can be used to capture learning scenarios, which then provide a basis for more informed managerial decisions.

Anna Wiewiora, Jan Treur, Gulay Canbaloglu - Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models, E-bok

Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

AvAnna Wiewiora,Jan Treurm. fl.

E-bok

Engelska, 2023

2 532 kr

Läs direkt efter köp

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent and explore different facets of multilevel learning. This book provides an overview of recent work on mathematical formalisation and computational simulation of multilevel organisational learning by exploiting the possibilities of self-modeling network models to address it.

This is the first book addressing mathematical formalisation and computational modeling of multilevel organisational learning in a systematic, principled manner. A self-modeling network modeling approach from AI and Network Science is used where in a reflective manner some of the network nodes (called self-model nodes) represent parts of the network’s own network structure characteristics. This is supported by a dedicated software environment allowing to design and implement (higher-order) adaptive network models by specifying them in a conceptual manner at a high level of abstraction in a standard table format, without any need of algorithmic specification or programming. This modeling approach allows to model the development of knowledge in an organisational setting in a neatly structured manner at three different levels for the usage, adaptation and control, respectively, of the underlying mental models. Several examples of realistic cases of multilevel organisational learning are used to illustrate the approach. Crucial concepts such as the aggregation of mental models to form shared mental models out of individual mental models are addressed extensively. It is shown how to model context-sensitive control of organisational learning taking into account a wide variety of context factors, for example relating to levels of expertise of individuals or to leadership styles of managers involved. Mathematical equilibrium analysis of models of organisational learning is also addressed, among others allowing verification of correctness of the implemental models in comparison to their conceptual design. Chapters in this book also contribute to the Management and Business Sciences research by demonstrating how computational modeling can be used to capture complex management phenomena such as multilevel organizational learning. This book has a potential implication for practice by demonstrating how computational modeling can be used to capture learning scenarios, which then provide a basis for more informed managerial decisions.

Gülay Canbaloglu, Jan Treur - Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models, Övrigt

Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

AvGülay Canbaloglu,Jan Treur

Engelska, 2023

625 kr

Skickas inom 5-8 vardagar

Del 468 - Studies in Systems, Decision and Control

Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

AvGülay Canbaloğlu,Jan Treurm. fl.

Häftad, Engelska, 2024

1 946 kr

Skickas inom 10-15 vardagar

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent and explore different facets of multilevel learning. This book provides an overview of recent work on mathematical formalisation and computational simulation of multilevel organisational learning by exploiting the possibilities of self-modeling network models to address it. This is the first book addressing mathematical formalisation and computational modeling of multilevel organisational learning in a systematic, principled manner. A self-modeling network modeling approach from AI and Network Science is used where in a reflective manner some of the network nodes (called self-model nodes) represent parts of the network’s own network structure characteristics. This is supported by a dedicated software environment allowing to design and implement (higher-order) adaptive network models by specifying them in a conceptual manner at a high level of abstraction in a standard table format, without any need of algorithmic specification or programming. This modeling approach allows to model the development of knowledge in an organisational setting in a neatly structured manner at three different levels for the usage, adaptation and control, respectively, of the underlying mental models. Several examples of realistic cases of multilevel organisational learning are used to illustrate the approach. Crucial concepts such as the aggregation of mental models to form shared mental models out of individual mental models are addressed extensively. It is shown how to model context-sensitive control of organisational learning taking into account a wide variety of context factors, for example relating to levels of expertise of individuals or to leadership styles of managers involved. Mathematical equilibrium analysis of models of organisational learning is also addressed, among others allowing verification of correctness of the implemental models in comparison to their conceptual design. Chapters in this book also contribute to the Management and Business Sciences research by demonstrating how computational modeling can be used to capture complex management phenomena such as multilevel organizational learning. This book has a potential implication for practice by demonstrating how computational modeling can be used to capture learning scenarios, which then provide a basis for more informed managerial decisions.

Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz - Computational Collective Intelligence, Häftad

Computational Collective Intelligence

15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings

AvNgoc Thanh Nguyen,János Botzheimm. fl.

Häftad, Engelska, 2023

1 338 kr

Skickas inom 5-8 vardagar

This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023.The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; cybersecurity, blockchain technology and Internet of Things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for Industry 4.0; computational intelligence in medical applications; and ensemble models and data fusion.

Adrianna Kozierkiewicz, Gottfried Vossen, Jan Treur, Manuel Nunez, Laszlo Gulyas, Janos Botzheim, Ngoc Thanh Nguyen - Computational Collective Intelligence, E-bok

Computational Collective Intelligence

15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings

AvAdrianna Kozierkiewicz,Gottfried Vossenm. fl.

E-bok

Engelska, 2023

1 785 kr

Läs direkt efter köp

This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023.The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; cybersecurity, blockchain technology and Internet of Things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for Industry 4.0; computational intelligence in medical applications; and ensemble models and data fusion.

Ngoc Thanh Nguyen, János Botzheim, László Gulyás, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz - Advances in Computational Collective Intelligence, Häftad

Del 1864 - Communications in Computer and Information Science

Advances in Computational Collective Intelligence

15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings

AvNgoc Thanh Nguyen,János Botzheimm. fl.

Häftad, Engelska, 2023

1 263 kr

Skickas inom 10-15 vardagar

This book constitutes the refereed proceedings of the 15th International Conference on Advances in Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023.The 59 full papers included in this book were carefully reviewed and selected from 218 submissions. They were organized in topical sections as follows: Collective Intelligence and Collective Decision-Making, Deep Learning Techniques, Natural Language Processing, Data Minning and Machine learning, Social Networks and Speek Communication, Cybersecurity and Internet of Things, Cooperative Strategies for Decision Making and Optimization, Digital Content Understanding and Apllication for Industry 4.0 and Computational Intelligence in Medical Applications.

Adrianna Kozierkiewicz, Gottfried Vossen, Jan Treur, Manuel Nunez, Laszlo Gulyas, Janos Botzheim, Ngoc Thanh Nguyen - Advances in Computational Collective Intelligence, E-bok

Advances in Computational Collective Intelligence

15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings

AvAdrianna Kozierkiewicz,Gottfried Vossenm. fl.

E-bok

Engelska, 2023

1 684 kr

Läs direkt efter köp

This book constitutes the refereed proceedings of the 15th International Conference on Advances in Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023.The 59 full papers included in this book were carefully reviewed and selected from 218 submissions. They were organized in topical sections as follows: Collective Intelligence and Collective Decision-Making, Deep Learning Techniques, Natural Language Processing, Data Minning and Machine learning, Social Networks and Speek Communication, Cybersecurity and Internet of Things, Cooperative Strategies for Decision Making and Optimization, Digital Content Understanding and Apllication for Industry 4.0 and Computational Intelligence in Medical Applications.

Ngoc-Than Nguyen, Bogdan Franczyk, André Ludwig, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz - Advances in Computational Collective Intelligence, Häftad

Del 2165 - Communications in Computer and Information Science

Advances in Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I

AvNgoc-Than Nguyen,Bogdan Franczykm. fl.

Häftad, Engelska, 2024

844 kr

Skickas inom 10-15 vardagar

This two-volume set CCIS 2165-2166 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.The 67 full papers included in this book were carefully reviewed and selected from 234 submissions.The main track, covering the methodology and applications of CCI, included: collective decision-making, data fusion, deep learning techniques, natural language processing, data mining and machine learning, social networks and intelligent systems, optimization, computer vision, knowledge engineering and application, as well as Internet of Things: technologies and applications. The special sessions, covering some specific topics of particular interest, included: cooperative strategies for decision making and optimization, security and reliability of information, networks and social media, anomalies detection, machine learning, deep learning, digital image processing, artificial intelligence, speech communication, IOT applications, natural language processing, innovative applications in data science.

Adrianna Kozierkiewicz, Gottfried Vossen, Jan Treur, Manuel Nunez, Andre Ludwig, Bogdan Franczyk, Ngoc-Than Nguyen - Advances in Computational Collective Intelligence, E-bok

Advances in Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I

AvAdrianna Kozierkiewicz,Gottfried Vossenm. fl.

E-bok

Engelska, 2024

1 077 kr

Läs direkt efter köp

This two-volume set CCIS 2165-2166 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.

The 67 full papers included in this book were carefully reviewed and selected from 234 submissions.

The main track, covering the methodology and applications of CCI, included: collective decision-making, data fusion, deep learning techniques, natural language processing, data mining and machine learning, social networks and intelligent systems, optimization, computer vision, knowledge engineering and application, as well as Internet of Things: technologies and applications. The special sessions, covering some specific topics of particular interest, included: cooperative strategies for decision making and optimization, security and reliability of information, networks and social media, anomalies detection, machine learning, deep learning, digital image processing, artificial intelligence, speech communication, IOT applications, natural language processing, innovative applications in data science.

Ngoc-Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Nunez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz - Advances in Computational Collective Intelligence, Häftad

Del 2166 - Communications in Computer and Information Science

Advances in Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II

AvNgoc-Thanh Nguyen,Bogdan Franczykm. fl.

Häftad, Engelska, 2024

949 kr

Skickas inom 10-15 vardagar

This two-volume set CCIS 2165-2166 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.The 67 full papers included in this book were carefully reviewed and selected from 234 submissions.The main track, covering the methodology and applications of CCI, included: collective decision-making, data fusion, deep learning techniques, natural language processing, data mining and machine learning, social networks and intelligent systems, optimization, computer vision, knowledge engineering and application, as well as Internet of Things: technologies and applications. The special sessions, covering some specific topics of particular interest, included: cooperative strategies for decision making and optimization, security and reliability of information, networks and social media, anomalies detection, machine learning, deep learning, digital image processing, artificial intelligence, speech communication, IOT applications, natural language processing, innovative applications in data science.

Adrianna Kozierkiewicz, Gottfried Vossen, Jan Treur, Manuel Nunez, Andre Ludwig, Bogdan Franczyk, Ngoc-Thanh Nguyen - Advances in Computational Collective Intelligence, E-bok

Advances in Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II

AvAdrianna Kozierkiewicz,Gottfried Vossenm. fl.

E-bok

Engelska, 2024

1 223 kr

Läs direkt efter köp

This two-volume set CCIS 2165-2166 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.

The 67 full papers included in this book were carefully reviewed and selected from 234 submissions.

The main track, covering the methodology and applications of CCI, included: collective decision-making, data fusion, deep learning techniques, natural language processing, data mining and machine learning, social networks and intelligent systems, optimization, computer vision, knowledge engineering and application, as well as Internet of Things: technologies and applications. The special sessions, covering some specific topics of particular interest, included: cooperative strategies for decision making and optimization, security and reliability of information, networks and social media, anomalies detection, machine learning, deep learning, digital image processing, artificial intelligence, speech communication, IOT applications, natural language processing, innovative applications in data science.

Ngoc Thanh Nguyen, Bogdan Franczyk, André Ludwig, Manuel Núñez, Jan Treur, Gottfried Vossen, Adrianna Kozierkiewicz - Computational Collective Intelligence, Häftad

Del 14810 - Lecture Notes in Computer Science

Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I

AvNgoc Thanh Nguyen,Bogdan Franczykm. fl.

Häftad, Engelska, 2024

839 kr

Skickas inom 10-15 vardagar

This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics:Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning.Part II: Social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0.

Adrianna Kozierkiewicz, Gottfried Vossen, Jan Treur, Manuel Nunez, Andre Ludwig, Bogdan Franczyk, Ngoc Thanh Nguyen - Computational Collective Intelligence, E-bok

Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part I

AvAdrianna Kozierkiewicz,Gottfried Vossenm. fl.

E-bok

Engelska, 2024

1 059 kr

Läs direkt efter köp

This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. They cover the following topics:

Part I: Collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning.

Part II: Social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0.

Del 14811 - Lecture Notes in Computer Science

Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II

AvNgoc Thanh Nguyen,Bogdan Franczykm. fl.

Häftad, Engelska, 2024

839 kr

Skickas inom 10-15 vardagar

This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. Part I: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learningPart II: social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0

Computational Collective Intelligence

16th International Conference, ICCCI 2024, Leipzig, Germany, September 9–11, 2024, Proceedings, Part II

AvAdrianna Kozierkiewicz,Gottfried Vossenm. fl.

E-bok

Engelska, 2024

1 059 kr

Läs direkt efter köp

This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9–11, 2024.

The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions.

Part I: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning

Part II: social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0

Peter H.M.P. Roelofsma, Fakhra Jabeen, H. Rob Taal, Jan Treur - Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach, Inbunden

Del 570 - Studies in Systems, Decision and Control

Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach

AvPeter H.M.P. Roelofsma,Fakhra Jabeenm. fl.

Inbunden, Engelska, 2025

2 161 kr

Skickas inom 10-15 vardagar

Ensuring patient safety and security through cyberspace requires that all care professionals operate as a team and community . In order to be successful, it is of paramount importance that all members of the team have a shared understanding of the diagnosis, the condition of the patient, the secure use of medical devices and the plan of action. At present, to ensure that all mem bers have this 'shared mental model', members communicate and observe each other's actions. Based upon this information, members sho uld be able to confirm if indeed all have a shared mental model and speak up when deviations in one or more members and/or processes are suspected. From a group dynamical and information processing perspective, this verification process is known to be very vulnerable: how can red flags be detected in complicated surgery settings and do members feel psychologically safe enough to speak up when they have concerns about being on the same page as the rest of their team? This book presents a new approach for saf ety and security through cyberspace through introducing a concept of co designed clinical pathways supported by the AI coach. The AI coach will be an intervention for both improving hospital wide safety and security through cyberspace. The AI Coach will empower users by supporting and facilitating the development of a shared mental model for team and organisational learning. The AI coach will function as an information, communication, cooperation and decision support system. The book advises to incorporate issues or cybersecurity risk management into the total safety and security process, among others through co-creating security.

Jan Treur, H. Rob Taal, Fakhra Jabeen, Peter H.M.P. Roelofsma - Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach, E-bok

Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach

AvJan Treur,H. Rob Taalm. fl.

E-bok

Engelska, 2025

2 840 kr

Läs direkt efter köp

Ensuring patient safety and security through cyberspace requires that all care professionals operate as a team and community . In order to be successful, it is of paramount importance that all members of the team have a shared understanding of the diagnosis, the condition of the patient, the secure use of medical devices and the plan of action. At present, to ensure that all mem bers have this ''shared mental model'', members communicate and observe each other''s actions. Based upon this information, members sho uld be able to confirm if indeed all have a shared mental model and speak up when deviations in one or more members and/or processes are suspected. From a group dynamical and information processing perspective, this verification process is known to be very vulnerable: how can red flags be detected in complicated surgery settings and do members feel psychologically safe enough to speak up when they have concerns about being on the same page as the rest of their team? This book presents a new approach for saf ety and security through cyberspace through introducing a concept of co designed clinical pathways supported by the AI coach. The AI coach will be an intervention for both improving hospital wide safety and security through cyberspace. The AI Coach will empower users by supporting and facilitating the development of a shared mental model for team and organisational learning. The AI coach will function as an information, communication, cooperation and decision support system. The book advises to incorporate issues or cybersecurity risk management into the total safety and security process, among others through co-creating security.