Gabriele Kern-Isberner - Böcker
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6 produkter
6 produkter
Del 11726 - Lecture Notes in Computer Science
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, Proceedings
Häftad, Engelska, 2019
536 kr
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This book constitutes the refereed proceedings of the 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019, held in Belgrade, Serbia, in September 2019.The 41 full papers presented together with 3 abstracts of invited talks inn this volume were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections named: Argumentation; Belief Functions; Conditional, Default and Analogical Reasoning; Learning and Decision Making; Precise and Imprecise Probabilities; and Uncertain Reasoning for Applications.
Del 10505 - Lecture Notes in Computer Science
KI 2017: Advances in Artificial Intelligence
40th Annual German Conference on AI, Dortmund, Germany, September 25–29, 2017, Proceedings
Häftad, Engelska, 2017
552 kr
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This book constitutes the refereed proceedings of the 40th Annual German Conference on Artificial Intelligence, KI 2017 held in Dortmund, Germany in September 2017.The 20 revised full technical papers presented together with 16 short technical communications were carefully reviewed and selected from 73 submissions. The conference cover a range of topics from, e. g., agents, robotics, cognitive sciences, machine learning, planning, knowledge representation, reasoning, and ontologies, with numerous applications in areas like social media, psychology, transportation systems and reflecting the richness and diversity of their field.
Conditionals, Information, and Inference
International Workshop, WCII 2002, Hagen, Germany, May 13-15, 2002, Revised Selected Papers
Häftad, Engelska, 2005
552 kr
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Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false — rather, a conditional “if A then B” provides a context, A, for B to be plausible (or true) and must not be confused with “A entails B” or with the material implication “not A or B.” This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The ?rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti?cial Intelligence made claims for appropriate formaltoolstohandle“generalizedrules.”Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision.
Conditionals in Nonmonotonic Reasoning and Belief Revision
Considering Conditionals as Agents
Häftad, Engelska, 2001
552 kr
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Conditionals are omnipresent, in everyday life as well as in scientific environments; they represent generic knowledge acquired inductively or learned from books. They tie a flexible and highly interrelated network of connections along which reasoning is possible and which can be applied to different situations. Therefore, conditionals are important, but also quite problematic objects in knowledge representation.This book presents a new approach to conditionals which captures their dynamic, non-proportional nature particularly well by considering conditionals as agents shifting possible worlds in order to establish relationships and beliefs. This understanding of conditionals yields a rich theory which makes complex interactions between conditionals transparent and operational. Moreover,it provides a unifying and enhanced framework for knowledge representation, nonmonotonic reasoning, belief revision,and even for knowledge discovery.
Foundations of Information and Knowledge Systems
5th International Symposium, FoIKS 2008, Pisa, Italy, February 11-15, 2008, Proceedings
Häftad, Engelska, 2008
552 kr
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An ideal text for researchers and professionals alike, this book constitutes the refereed proceedings of the 5th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2008 held in Pisa, Italy, in February 2008. The 13 revised full papers are presented together with nine revised short papers and three invited lectures. All of these were carefully selected during two rounds of reviewing and improvement from a total of 79 submissions.
567 kr
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Lernen Sie in diesem Lehrbuch verschiedene Methoden wissensbasierter Systeme kennen Intelligente Computersysteme sind in Zeiten der Digitalisierung ein wesentlicher Bestandteil der Gesellschaft. Es ist ihre Aufgabe, Wissen in jeglicher Form darzustellen und zu verarbeiten. Dieses Lehrbuch von Christoph Beierle und Gabriele Kern befasst sich mit unterschiedlichen Methoden wissensbasierter Systeme. Die überarbeitete sechste Auflage des Werkes umfasst 14 Kapitel, die sich unter anderem mit folgenden Themen befassen:· Einleitung· Wissensbasierte Systeme im Überblick· Logikbasierte Wissensrepräsentation und Inferenz· Regelbasierte Systeme· Maschinelles Lernen· Fallbasiertes Schließen· Truth Maintenance-Systeme· Default-Logiken· Logisches Programmieren und Antwortmengen· Argumentation· Aktionen und Planen· Agenten· Quantitative Methoden I – Probabilistische Netzwerke· Quantitative Methoden II – Dempster-Shafer-Theorie, Fuzzy-Theorie und Possibilistik Neben der Künstlichen Intelligenz ist außerdem die logikbasierte Wissensrepräsentation und Inferenz von zentraler Bedeutung in diesem Lehrbuch über die Methoden der künstlichen Intelligenz. Dazu bereiten die Autoren den Inhalt anschaulich und leicht verständlich auf und machen das kompakte Nachschlagewerk so zu einer absoluten Empfehlung für das Selbststudium und als Begleittext für entsprechende Vorlesungen.Erfahren Sie mehr über die aktuellen Entwicklungen Das Lehrbuch erklärt Ihnen nicht nur die Grundlagen (z. B. Algorithmen) zu verschiedenen Methoden wissensbasierter Systeme. Es zeigt Ihnen zudem die Funktionen eingebetteter Systeme und kristallisiert die Notwendigkeit Künstlicher Intelligenzen heraus. Die Autoren befassen sich sowohl mit den Stärken als auch mit den Schwächen der heutigen Technik, um Ihnen mit diesem Lehrbuch ein kritisches Verständnis für die Methoden wissensbasierter Systeme zu vermitteln.