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29 produkter
29 produkter
Inbunden, Engelska, 2022
599 kr
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Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engagedwith signal processing, machine learning and the applications.
E-bok
Engelska, 2022791 kr
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Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate.
Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engagedwith signal processing, machine learning and the applications.
E-bok
PDF, Tyska, 2013586 kr
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Häftad, Tyska, 1982
561 kr
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Inbunden, Engelska, 2003
1 084 kr
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Adaptivity and learning have in recent decades become a common concern of scientific disciplines. These issues have arisen in mathematics, physics, biology, informatics, economics, and other fields more or less simultaneously. The aim of this publication is the interdisciplinary discourse on the phenomenon of learning and adaptivity. Different perspectives are presented and compared to find fruitful concepts for the disciplines involved. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.
Häftad, Engelska, 1987
546 kr
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Häftad, Tyska, 1988
577 kr
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Die deutsche Frühjahrsschule für Künstliche Intelligenz, jährlich veranstaltet von der Fachgruppe 1.2 "Künstliche Intelligenz und Mustererkennung" der Gesellschaft für Informatik, ist in den letzten Jahren zu einem festen Begriff geworden. Dieses Buch ist der dritte Band von Kursausarbeitungen vergangener Frühjahrsschulen, hier aus den Jahren 1985 und 1986. Es vergrößert die thematische Vielfalt des bereits Verfügbaren um neuartige Einführungen in LISP und PROLOG, sowie ausführliche Beiträge über Robotik, Programmverifikation, Qualitative Modelle, Kognitive Modelle und Automatisches Beweisen.
E-bok
PDF, Engelska, 2003708 kr
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This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ¨aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.
Häftad, Engelska, 1988
562 kr
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This volume contains the papers which were presented to the workshop "Computer-Science Logic" held in Karlsruhe on October 12-16, 1987. Traditionally Logic, or more specifically, Mathematical Logic splits into several subareas: Set Theory, Proof Theory, Recursion Theory, and Model Theory. In addition there is what sometimes is called Philosophical Logic which deals with topics like nonclassical logics and which for historical reasons has been developed mainly at philosphical departments rather than at mathematics institutions. Today Computer Science challenges Logic in a new way. The theoretical analysis of problems in Computer Science for intrinsic reasons has pointed back to Logic. A broad class of questions became visible which is of a basically logical nature. These questions are often related to some of the traditional disciplines of Logic but normally without being covered adequately by any of them. The novel and unifying aspect of this new branch of Logic is the algorithmic point of view which is based on experiences people had with computers. The aim of the "Computer-Science Logic" workshop and of this volume is to represent the richness of research activities in this field in the German-speaking countries and to point to their underlying general logical principles.
Häftad, Engelska, 1989
546 kr
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This volume contains the papers which were presented at the second workshop "Computer Science Logic" held in Duisburg, FRG, October 3-7, 1988. These proceedings cover a wide range of topics both from theoretical and applied areas of computer science. More specifically, the papers deal with problems arising at the border of logic and computer science: e.g. in complexity, data base theory, logic programming, artificial intelligence, and concurrency. The volume should be of interest to all logicians and computer scientists working in the above fields.
Häftad, Engelska, 1990
562 kr
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This volume contains the revised versions of 28 papers presented at the third workshop on Computer Science Logic held in Kaiserslautern, FRG, October 2-6, 1989. These proceedings cover a wide range of topics both from theoretical and applied areas of computer science. More specifically, the papers deal with problems arising at the border of logic and computer science, e.g. in complexity, data base theory, logic programming, artificial intelligece, and temporal logic. The volume should be of interest to all logicians and computer scientists working in the above field.
Häftad, Engelska, 1991
546 kr
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The workshop Computer Science Logic '90 was held at theMax-Planck-Haus in Heidelberg, Germany, October 1-5, 1990.It was the fourth in a series of worskhops, following CSL'89 at the University of Kaiserslautern (see LNCS 440), CSL'88 at the University of Duisberg (see LNCS 385), and CSL'87 at the University of Karlsruhe (see LNCS 329). Thisvolume contains 24 papers, chosen by means of a reviewprocedure from the 35 papers presented at the workshop, someof which were invited and some selected from a total of 89submissions. The papers cover a wide range of topics arisingfrom the applications of logic to computer science.
Häftad, Engelska, 1991
562 kr
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This volume presents the proceedings of an internationalworkshop on the processing of declarative knowledge. Theworkshop was organized and hosted by the German ResearchCenter for Artificial Intelligence (DFKI) in cooperationwith the Association for Logic Programming (ALP) and theGesellschaft f}r Informatik (GI).Knowledge is often represented using definite clauses,rules, constraints, functions, conceptual graphs, andrelated formalisms. The workshop addressed such high-levelrepresentations and their efficient implementation requiredfor declarative knowledge bases. Many of the papers treatrepresentation methods, mainly concept languages, and manytreat implementation methods, such as transformationtechniques and WAM-like abstract machines. Several papersdescribe implemented knowledge-processing systems. Thecompetition between procedural and declarative paradigms wasdiscussed in a panel session, and position statements of thepanelists are included in the volume.
Häftad, Engelska, 1992
546 kr
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This volume presents the proceedings of the workshop CSL '91(Computer Science Logic) held at the University of Berne,Switzerland, October 7-11, 1991. This was the fifth in aseries of annual workshops on computer sciencelogic (thefirst four are recorded in LNCS volumes 329, 385, 440, and533).The volume contains 33 invited and selected papers on avariety of logical topics in computer science, includingabstract datatypes, bounded theories, complexity results,cut elimination, denotational semantics, infinitary queries,Kleene algebra with recursion, minimal proofs, normal formsin infinite-valued logic, ordinal processes, persistentPetri nets, plausibility logic, program synthesis systems,quantifier hierarchies, semantics of modularization, stablelogic, term rewriting systems, termination of logicprograms, transitive closure logic, variants of resolution,and many others.
Häftad, Engelska, 1993
546 kr
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This volume presents the proceedings of the Computer ScienceLogic Workshop CSL '92, held in Pisa, Italy, inSeptember/October 1992. CSL '92 was the sixth of the seriesand the first one held as Annual Conference of the EuropeanAssociation for Computer Science Logic (EACSL). Fullversions of the workshop contributions were collected aftertheir presentation and reviewed. On the basis of 58 reviews,26 papers were selected for publication, and appear here inrevised final form.Topics covered in the volume include: Turing machines,linear logic, logic of proofs, optimization problems, lambdacalculus, fixpoint logic, NP-completeness, resolution,transition system semantics, higher order partial functions,evolving algebras, functional logic programming, inductivedefinability, semantics of C, classes for a functionallanguage, NP-optimization problems, theory of types andnames, sconing and relators, 3-satisfiability, Kleene'sslash, negation-complete logic programs, polynomial-timeoracle machines, and monadic second-order properties.
Häftad, Engelska, 1994
1 084 kr
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This volume presents a selection of 42 refereed and revised contributions (includ- ing some invited lectures) which were presented at the 17th Annual Conference of the "Gesellschaft fur Klassifikation e. V." (GfKl), the German Classification Society. This conference was held at the University of Kaiserslautern from March 3 - 5, 1993 and jointly hosted by the Research Center for Mathematical Logic of the Heidelberg Academy for the Humanities and Sciences, the University of Kaiserslautern, and the German Research Center for Artificial Intelligence (DFKI GmbH). The local orga- nization was performed by Michael M. Richter, Wolfgang Lenski, Sabine Friedrich, Annette Klein, and Elisabeth Wette-Roch of the Computer Science Department of the University of Kaiserslautern and the Research Center for Mathematical Logic of the Heidelberg Academy for the Humanities and Sciences, respectively. The mem- bers of the Scientific Program Committee were Hans-Hermann Bock, PaulO. Degens, Matthias Herfurth, Hans-Joachim Hermes, Rudiger Klar, Rudolf Mathar, Michael M. Richter, and Rudolf Wille.
Inbunden, Engelska, 1998
1 084 kr
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Cognition and artificial intelligence are entering a new era in which the aspects of symbolic manipulation and of connectionism begin to come together. This leads to a dialog of truly interdisciplinary character. The book covers aspects of fuzzy logic, case based reasoning, learning as well as meaning, language, and consciousness. The authors of this topical volume have their background in logic, computer science, physics and mathematics, philosophy, psychology and neurobiology.
Häftad, Engelska, 1998
562 kr
Skickas inom 10-15 vardagar
This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ¨aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.
Häftad, Engelska, 2007
562 kr
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The International Conference on Case-Based Reasoning (ICCBR) is the pre-eminent international meeting on case-based reasoning (CBR). ICCBR 2007 (http://www.iccbr.org./iccbr07/) was the seventh in this series, presenting the most significant contributions in the field of CBR. The conference took place in Belfast, Northern Ireland, UK, during August 13-16, 2007. ICCBR and its sister conferences ECCBR (European Conference on Case-Based Reasoning) alternate every year. ICCBR 2007 followed a series of six successful international conferences previously held in Sesimbra, Portugal (1995); Providence, Rhode Island, USA (1997); Seeon, Germany (1999); Vancouver, Canada (2001); Trondheim, Norway (2003); and C- cago, Illinois, USA (2005). The European Conferences on Case-Based Reasoning (ECCBR) were held as European workshops in Kaiserslautern, Germany (1993); Chantilly, France (1994); Lausanne, Switzerland (1996); Dublin, Ireland (1998); and Trento, Italy (2000); and as European conferences in Aberdeen, UK (2002); Madrid, Spain (2004); and Lykia World, Turkey (2006). Days one, two, and four comprised presentations and posters on theoretical and - plied CBR research. In order to emphasize the importance of applications, the tra- tional industry day was converted into an Industry Program held on the second day, in the middle of the conference. Day three was devoted to five workshops: Case-Based Reasoning and Context-Awareness; Case-Based Reasoning in the Health Sciences; Textual Case-Based Reasoning: Beyond Retrieval; Uncertainty and Fuzziness in Case- Based Reasoning; and Knowledge Discovery and Similarity.
E-bok
PDF, Engelska, 2007734 kr
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The International Conference on Case-Based Reasoning (ICCBR) is the pre-eminent international meeting on case-based reasoning (CBR). ICCBR 2007 (http://www.iccbr.org./iccbr07/) was the seventh in this series, presenting the most significant contributions in the field of CBR. The conference took place in Belfast, Northern Ireland, UK, during August 13-16, 2007. ICCBR and its sister conferences ECCBR (European Conference on Case-Based Reasoning) alternate every year. ICCBR 2007 followed a series of six successful international conferences previously held in Sesimbra, Portugal (1995); Providence, Rhode Island, USA (1997); Seeon, Germany (1999); Vancouver, Canada (2001); Trondheim, Norway (2003); and C- cago, Illinois, USA (2005). The European Conferences on Case-Based Reasoning (ECCBR) were held as European workshops in Kaiserslautern, Germany (1993); Chantilly, France (1994); Lausanne, Switzerland (1996); Dublin, Ireland (1998); and Trento, Italy (2000); and as European conferences in Aberdeen, UK (2002); Madrid, Spain (2004); and Lykia World, Turkey (2006). Days one, two, and four comprised presentations and posters on theoretical and - plied CBR research. In order to emphasize the importance of applications, the tra- tional industry day was converted into an Industry Program held on the second day, in the middle of the conference. Day three was devoted to five workshops: Case-Based Reasoning and Context-Awareness; Case-Based Reasoning in the Health Sciences; Textual Case-Based Reasoning: Beyond Retrieval; Uncertainty and Fuzziness in Case- Based Reasoning; and Knowledge Discovery and Similarity.
Häftad, Engelska, 2010
1 084 kr
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Adaptivity and learning have in recent decades become a common concern of scientific disciplines. These issues have arisen in mathematics, physics, biology, informatics, economics, and other fields more or less simultaneously. The aim of this publication is the interdisciplinary discourse on the phenomenon of learning and adaptivity. Different perspectives are presented and compared to find fruitful concepts for the disciplines involved. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.
Häftad, Engelska, 2010
1 084 kr
Skickas inom 10-15 vardagar
Cognition and artificial intelligence are entering a new era in which the aspects of symbolic manipulation and of connectionism begin to come together. This leads to a dialog of truly interdisciplinary character. The book covers aspects of fuzzy logic, case based reasoning, learning as well as meaning, language, and consciousness. The authors of this topical volume have their background in logic, computer science, physics and mathematics, philosophy, psychology and neurobiology.
Inbunden, Engelska, 2013
1 116 kr
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While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based reasoning (CBR) can be viewed as experience mining, with analogical reasoning applied to problem–solution pairs. As cases are typically not identical, simple storage and recall of experiences is not sufficient, we must define and analyze similarity and adaptation. The fundamentals of the approach are now well-established, and there are many successful commercial applications in diverse fields, attracting interest from researchers across various disciplines. This textbook presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications. In the chapters in Part I the authors present the basic elements of CBR without assuming prior reader knowledge; Part II explains the core methods, in particular case representations, similarity topics, retrieval, adaptation, evaluation, revisions, learning, development, and maintenance; Part III offers advanced views of these topics, additionally covering uncertainty and probabilities; and Part IV shows the range of knowledge sources, with chapters on textual CBR, images, sensor data and speech, conversational CBR, and knowledge management. The book concludes with appendices that offer short descriptions of the basic formal definitions and methods, and comparisons between CBR and other techniques. The authors draw on years of teaching and training experience in academic and business environments, and they employ chapter summaries, background notes, and exercises throughout the book. It's suitable for advanced undergraduate and graduate students of computer science, management, and related disciplines, and it's also a practical introduction and guide for industrial researchers and practitioners engaged with knowledge engineering systems.
E-bok
PDF, Engelska, 2013865 kr
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While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based reasoning (CBR) can be viewed as experience mining, with analogical reasoning applied to problem–solution pairs. As cases are typically not identical, simple storage and recall of experiences is not sufficient, we must define and analyze similarity and adaptation. The fundamentals of the approach are now well-established, and there are many successful commercial applications in diverse fields, attracting interest from researchers across various disciplines.
This textbook presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications. In the chapters in Part I the authors present the basic elements of CBR without assuming prior reader knowledge; Part II explains the core methods, in particular case representations, similarity topics, retrieval, adaptation, evaluation, revisions, learning, development, and maintenance; Part III offers advanced views of these topics, additionally covering uncertainty and probabilities; and Part IV shows the range of knowledge sources, with chapters on textual CBR, images, sensor data and speech, conversational CBR, and knowledge management. The book concludes with appendices that offer short descriptions of the basic formal definitions and methods, and comparisons between CBR and other techniques.
The authors draw on years of teaching and training experience in academic and business environments, and they employ chapter summaries, background notes, and exercises throughout the book. It''s suitable for advanced undergraduate and graduate students of computer science, management, and related disciplines, and it''s also a practical introduction and guide for industrial researchers and practitioners engaged with knowledge engineering systems.
E-bok
PDF, Engelska, 20131 416 kr
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E-bok
PDF, Tyska, 2013446 kr
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Die deutsche Frühjahrsschule für Künstliche Intelligenz, jährlich veranstaltet von der Fachgruppe 1.2 "Künstliche Intelligenz und Mustererkennung" der Gesellschaft für Informatik, ist in den letzten Jahren zu einem festen Begriff geworden. Dieses Buch ist der dritte Band von Kursausarbeitungen vergangener Frühjahrsschulen, hier aus den Jahren 1985 und 1986. Es vergrößert die thematische Vielfalt des bereits Verfügbaren um neuartige Einführungen in LISP und PROLOG, sowie ausführliche Beiträge über Robotik, Programmverifikation, Qualitative Modelle, Kognitive Modelle und Automatisches Beweisen.
E-bok
PDF, Engelska, 20131 416 kr
Läs direkt efter köp
Cognition and artificial intelligence are entering a new era in which the aspects of symbolic manipulation and of connectionism begin to come together. This leads to a dialog of truly interdisciplinary character. The book covers aspects of fuzzy logic, case based reasoning, learning as well as meaning, language, and consciousness. The authors of this topical volume have their background in logic, computer science, physics and mathematics, philosophy, psychology and neurobiology.
E-bok
PDF, Engelska, 20131 416 kr
Läs direkt efter köp
Adaptivity and learning have in recent decades become a common concern of scientific disciplines. These issues have arisen in mathematics, physics, biology, informatics, economics, and other fields more or less simultaneously. The aim of this publication is the interdisciplinary discourse on the phenomenon of learning and adaptivity. Different perspectives are presented and compared to find fruitful concepts for the disciplines involved. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.
Häftad, Engelska, 2016
728 kr
Skickas inom 10-15 vardagar
While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based reasoning (CBR) can be viewed as experience mining, with analogical reasoning applied to problem–solution pairs. As cases are typically not identical, simple storage and recall of experiences is not sufficient, we must define and analyze similarity and adaptation. The fundamentals of the approach are now well-established, and there are many successful commercial applications in diverse fields, attracting interest from researchers across various disciplines. This textbook presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications. In the chapters in Part I the authors present the basic elements of CBR without assuming prior reader knowledge; Part II explains the core methods, in particular case representations, similarity topics, retrieval, adaptation, evaluation, revisions, learning, development, and maintenance; Part III offers advanced views of these topics, additionally covering uncertainty and probabilities; and Part IV shows the range of knowledge sources, with chapters on textual CBR, images, sensor data and speech, conversational CBR, and knowledge management. The book concludes with appendices that offer short descriptions of the basic formal definitions and methods, and comparisons between CBR and other techniques. The authors draw on years of teaching and training experience in academic and business environments, and they employ chapter summaries, background notes, and exercises throughout the book. It's suitable for advanced undergraduate and graduate students of computer science, management, and related disciplines, and it's also a practical introduction and guide for industrial researchers and practitioners engaged with knowledge engineering systems.