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21. Programming Collective Intelligence: Building Smart Web 2.0 Applications by Toby Segaran | |
Paperback: 368
Pages
(2007-08-16)
list price: US$39.99 -- used & new: US$22.38 (price subject to change: see help) Asin: 0596529325 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (59)
Popular Web Algorithms Explained in Detail
Excellent Resource, Clear and Concise
Great sample code in Python
Bold New Writing plus best O'reilly book ever
Intuitive and motivating book |
22. On Intelligence by Jeff Hawkins, Sandra Blakeslee | |
Paperback: 272
Pages
(2005-08-01)
list price: US$16.99 -- used & new: US$9.51 (price subject to change: see help) Asin: 0805078533 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (127)
Is there more to it?
Despite its complexity, the brain's true beauty & ingeniousity is in its simplicity.
Mostly about the neocortex's mechanisms
The crux of intelligence!
A Common Cortical Algorithm |
23. Artificial Intelligence: A New Synthesis by Nils J. Nilsson | |
Hardcover: 513
Pages
(1998-04-15)
list price: US$93.95 -- used & new: US$20.00 (price subject to change: see help) Asin: 1558604677 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. The book provides a refreshing and motivating new synthesis of the field by one of AI's master expositors and leading researchers. Artificial Intelligence: A New Synthesis takes the reader on a complete tour of this intriguing new world of AI. Customer Reviews (15)
Good general overview This book is written more in the context of the latter camp, than in the former. However, in-depth discussion of the Turing test is not given, and this actually is one of the main virtues of the book, although the author clearly believes that the purpose of doing research in artificial intelligence is to achieve human-level intelligence. As he remarks in the last paragraph in the book, it was written to overview the techniques that he believes are required to achieve human-level intelligence. Although he does not explicitly give the reader tests for machine intelligence that will allow progress to be measured, he devotes a small portion of the book to various ideas on just what constitutes intelligence. The book also gives a general (and sometimes very brief) overview of the algorithms used in artificial intelligence.Search heuristics, neural networks, and genetic programming are some of the topics that are covered. The influence of the "intelligent agent" paradigm, that is now taking the AI community by storm, is very apparent throughout the book. The author though does not neglect some of the topics in "good-ole-fashioned" artificial intelligence that arose decades ago and is still applicable today, especially in the field of logic programming. These topics include resolution in both the propositional and predicate calculus, and in expert systems. By far the best discussion in the book is on knowledge-based systems and evolving knowledge bases. This topic has taken on considerable importance in recent years due to the importance of data mining and business intelligence. Readers who are considering artificial intelligence as a career choice will find good motivation by reading this book. The field also is quite different than most others in that it respects a high degree of individual creativity and ingenuity, and has a high bandwidth for new ideas. Beginning with its origins in the 1950s, the field has grown by leaps and bounds, but its applications have exploded in the last five years, fueled mainly by business and financial applications. Concerned not only with achieving human-level capabilities, but also with other forms of intelligence and how they can be useful, artificial intelligence has become one of the predominant forces in the twenty-first century. One can only be excited and optimistic about its further advances.
Run Forrest Run
Not a good intro to AI
nice, but with these errors Page 52: The "high-degree function" is not a function! Page 92: In Figure 6.6, the topmost pixels that get deleted as a result of the averaging operation should actually remain there, since both their sums are 4, which is greater than the threshold, which is 3. Page 100: In Fig. 6.13, the last row of the last image contains a spurious image boundary. Page 151: In Fig. 9.8, there are two nodes with name n; the one which is higher in the figure should have the subscript 1. Page 152, item 3 in the list: There is an implicit assumption that h-hat always returns 0 for goal states. I don't think that this assumption is stated earlier in the text. Page 165: In Figure 10.1, all arrows are supposed to be pointing away from the current state. Page 246: The last paragraph mentions ".. the two interpretations for Clear and On suggested by Fig. 15.2", but aren't actually THREE interpretations suggested for On? And in the current errata list in the book's website, something is clearly wrong with item 6, since it says n_i should be replaced by n_i. All in all, a good book.
Varies between being superficial and incomprehendable The book covers all the major areas of artificial intelligence but does so in a very superficial manner. There isn't actually enough information in the book at allow to to implement some of the techniques available - it is mostly teasers. Also many of the subjects are - and even some of the subjects that I already knew about beforehand - incomprehendable and I often got more confused about a subject than before I began reading it. I very rarely give a book one star, but this one deserves it in the light of the many better books on AI. I recommend that you read "Russell and Norvig: Artificial Intelligence - A Modern Approach" instead. Jacob Marner, M.Sc. ... Read more |
24. Bayesian Artificial Intelligence (Chapman & Hall/CRC Computer Science & Data Analysis) by Kevin B. Korb, Ann E. Nicholson | |
Hardcover: 392
Pages
(2003-09-25)
list price: US$99.95 -- used & new: US$91.89 (price subject to change: see help) Asin: 1584883871 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (3)
Very good introduction in causal Modeling
Excellent Introductory Text
Bayesian Networks for Undergrads and Practicioners |
25. Problem-Solving Methods in Artificial Intelligence by nils nilsson | |
Hardcover: 244
Pages
(1971)
Asin: B000PGHBQ0 Canada | United Kingdom | Germany | France | Japan | |
26. Artificial Intelligence for Maximizing Content Based Image Retrieval (Premier Reference Source) by Zongmin Ma | |
Hardcover: 450
Pages
(2008-11-26)
list price: US$195.00 -- used & new: US$192.82 (price subject to change: see help) Asin: 1605661740 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Artificial Intelligence for Maximizing Content Based Image Retrieval discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field. Providing state-of-the-art research from leading international experts, this book offers a theoretical perspective and practical solutions for academicians, researchers, and industry practitioners. |
27. Artificial Intelligence: The Very Idea by John Haugeland | |
Paperback: 299
Pages
(1989-01-06)
list price: US$33.00 -- used & new: US$27.02 (price subject to change: see help) Asin: 0262580950 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (3)
Don't judge this book by its cover... So Haugeland's story is that of a particular theory of mind that held predominance for several decades (what the author himself dubs "good, old-fashioned artificial intelligence" or "GOFAI", p. 112) but is now gradually being superceded.His introduction to this story concludes with a description of the Turing test and a justification for its use, and a brief statement of the efficacy of describing a system in different-even contradictory-ways through different "organizational levels".(p. 9)Of all the ideas presented in the book, this last one has the greatest promise for applicability beyond GOFAI. Chapter 1, "The Saga of the Modern Mind", is a condensed bit of intellectual history.Haugeland introduces the philosophical children of the Copernican revolution-Hobbes, Descartes, and Hume-and the ways they grappled with understanding the world of the mental with the ideas that had proven so effective in the physical sciences.We soon encounter the "paradox of mechanical reason": if reason is the meaningful manipulation of symbols, and meanings are not physical entities, then how can machines manipulate them?(p. 39) Chapter 2 serves as an extended definition of "Automatic Formal Systems", that is, computers.This material is the most challenging in the text, but the important concepts (formal games, digital systems, medium independence, etc.), are well-described, except for finite playability.The students I tutored through this work found it impossible to determine just what point was being made, and so did I. How does one assign meanings-connections to the "real", outside world-to the symbols that a computer manipulates?This question is taken up in Chapter 3, "Semantics"-and answered, it seems, by sleight-of-hand.Haugeland gives to this the name "the formalist's motto": "if you take care of the syntax, the semantics will take care of itself".(p. 106)Neither I nor my students found this simple resolution at all satisfying.In every example of a formal game that the author presents, whatever semantic interpretation it has is provided from outside the system. Chapter 4, "Computer Architecture", charts the milestones of computing.It begins with the analytical engine, and lauds Babbage's single-handed invention of programming without noting, however, that a human mind does not resemble the tabula rasa of a computer's memory bank.Moving quickly to the twentieth century, we get insightful descriptions of Turing machines, von Neumann machines (which turn out to be the kind of computer we are accustomed to), the mind-bending tree-structured LISP machines, and Newell's pragmatic production machines. Chapter 5, "Real Machines", might be better titled "Real Problems".Haugeland presents some of the brick walls that AI research has run into.These can be grouped into the phenomenon of the combinatorial explosion:in order to interact with the real world in a manner that demonstrates "common sense", an AI must have access to an impossibly large store of information (while accessing what it needs in due time), and be able to consider an equally impossibly large set of potential courses of action.(p. 178)Methods to restrict what the AI has to consider, such as the focus on "micro-worlds", result in a system with no sense.Haugeland acknowledges these problems, and offers nothing but hope in scientific and technological progress to answer them. Chapter 6, "Real People", develops means by which the sense that humans exhibit, and machines are far from realizing.Dennett's intentional stances and Grice's conversational implicatures are intelligent-if partial-characterizations of perspicuous reasoning.They are, however, frustratingly slippery for computer programmers, so it's not surprising that Haugeland, with some exasperation, groups them together under the "nonasininity canon": "An enduring system makes sense to the extent that, as understood, it isn't making [a rear] of itself."(p. 219)I feel that, if a reader has followed the author this far, then he or she deserves better than this. Yet Haugeland and his colleagues are bound to feel frustration.Computers are electromechanical in nature, while humans are neurochemical.Computers can engage in numerical calculation with speed and precision, while most people find mathematics to be their most difficult school subject.Computers are tools that we devised to assist us.Human behavior was forged in the four-billion cauldron of evolution, and psychologists have barely begun to sort out the seething stew of vestigial loves, hates, and motivations that shape our behavior.And honest cognitive science will admit that humans and supercomputers are each masters of two separate, very different worlds.At the end, Haugeland finally admits this possibility-without contemplating the alternatives to the computation theory of might that this possibility demands.
THE VERY BEST ON CLASSICAL AI
A great exposition of the fundamentals and more. |
28. Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge by Etienne Wenger | |
Hardcover: 486
Pages
(1987-10)
list price: US$58.00 Isbn: 0934613265 Canada | United Kingdom | Germany | France | Japan | |
29. Geophysical Applications of Artificial Neural Networks and Fuzzy Logic (Modern Approaches in Geophysics) | |
Paperback: 348
Pages
(2010-11-02)
list price: US$179.00 -- used & new: US$148.31 (price subject to change: see help) Asin: 9048164761 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
30. Computational Intelligence: Concepts to Implementations by Russell C. Eberhart, Yuhui Shi | |
Hardcover: 496
Pages
(2007-08-24)
list price: US$82.95 -- used & new: US$53.43 (price subject to change: see help) Asin: 1558607595 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (3)
prominent acknowledgement of Hopfield
Great intro for non mathematicians...
not good enough |
31. Artificial Intelligence: Instructor's Manual/Test Bank by Elaine Rich, K. Knight | |
Paperback: 510
Pages
(1991-10-01)
Isbn: 0070522642 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (5)
A really bad textbook. The main problem with this book is its use of language. The book tries to explain everything in formal english. This makes the explanations extremely hard to understand without rereading it a number of times. There is no time spent in giving explanations in simpler prose or resorting to mathematical formalism wherever needed. But instead the book reads like Principia Mathematica, except that the words used are familiar English words instead of Greek symbols. Of course, a seasoned veteran of the subject can easily make sense of most of the things in the book. But the book is designed to throw off any new student of the subject. Unfortunately the book does not even work as a handy reference for a veteran. Finding stuff in the book does require a lot of reading through difficult prose. Overall this is a bad book, both has an introductory text book and as a reference book. If you are looking for an AI textbook: I would highly recommend Artificial Intelligence: A Modern Approach by Russel & Norvig.
Very Crisp
Good basic introduction, but little else.
A MUST BE for the AI interested.
Great Introduction |
32. Computational Intelligence Paradigms: Theory & Applications using MATLAB by S. Sumathi, Surekha Paneerselvam | |
Hardcover: 851
Pages
(2010-01-05)
list price: US$129.95 -- used & new: US$83.99 (price subject to change: see help) Asin: 143980902X Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Offering a wide range of programming examples implemented in MATLAB®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous intelligent computing methodologies and algorithms used in CI research. The book first focuses on neural networks, including common artificial neural networks; neural networks based on data classification, data association, and data conceptualization; and real-world applications of neural networks. It then discusses fuzzy sets, fuzzy rules, applications of fuzzy systems, and different types of fused neuro-fuzzy systems, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and Takagi–Sugeno inference systems. The authors also describe the history, advantages, and disadvantages of evolutionary computation and include solved MATLAB programs to illustrate the implementation of evolutionary computation in various problems. After exploring the operators and parameters of genetic algorithms, they cover the steps and MATLAB routines of genetic programming. The final chapter introduces swarm intelligence and its applications, particle swarm optimization, and ant colony optimization. Full of worked examples and end-of-chapter questions, this comprehensive book explains how to use MATLAB to implement CI techniques for the solution of biological problems. It will help readers with their work on evolution dynamics, self-organization, natural and artificial morphogenesis, emergent collective behaviors, swarm intelligence, evolutionary strategies, genetic programming, and the evolution of social behaviors. |
33. Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) by Holger H. Hoos, Thomas Stützle | |
Hardcover: 658
Pages
(2004-09-30)
list price: US$84.95 -- used & new: US$62.19 (price subject to change: see help) Asin: 1558608729 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (1)
The First Complete Solution |
34. Computational Intelligence: A Logical Approach by David Poole, Alan Mackworth, Randy Goebel | |
Hardcover: 576
Pages
(1998-01-08)
list price: US$129.00 -- used & new: US$8.00 (price subject to change: see help) Asin: 0195102703 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (4)
Buy A Better Book
Cretenous.
shame on the Mackworth and Poole
Serves well as an introduction The emphasis in the book is on intelligent agents, which the authors characterize in chapter one. Agents are viewed as black boxes that take in knowledge, past experiences, goals/values, and observations and output actions. They define what they call a representation and reasoning system consisting of a language to communicate to a computer, a methodology for giving meaning to this language, and a collection of procedures for computation. They also outline the three applications domains they will be developing in the book: an autonomous delivery robot, a diagnostic assistant, and an infobot. The authors expand upon the representation and reasoning system in chapter 2 in terms that are familiar from mathematical logic and computer science. A formal language, a semantics, and a proof procedure are the three essentials of an RRS. All of these elements are discussed in great detail, and concrete examples are given for all the main concepts. Readers without any background in logic may find the reading difficult, but with some effort it could be read profitably. The authors do a good job of presenting material that is usually delegated to texts on formal computer science. In chapter three, the authors show how representational knowledge can be used for domain representation, querying, and problem solving. This is done via an example of electrical house wiring and the PROLOG-astute reader will find the presentation very straightforward. But LISP programmers will also see its influence and the discussion on lists. An application is given in computational linguistics, namely that of definite clauses for context-free grammars. A discussion of searching is given in chapter 4, in the context of potential partial solutions to a problem, with the hope that these will truly be real solutions for the problem at hand. Graph searching, blind search strategies, heuristic searching, and refinements of these are all discussed with great clarity. And, because of their importance in applications, dynamic programming and constraint classification problems are overviewed, albeit very briefly. Chapter 5 turns to the topic of how to choose a representation langauge for knowledge. The authors detail the criteria for comparing different languages or logics in terms of expressiveness, worse-case complexity, and naturalness. Most important in this chapter is the discussion on qualitative versus quantitative representations. This is followed in chapter 6 by a discussion of the user interactions to a knowledge-based system in terms of a meta-interpreter that produces knowledge acquistion, debugging, etc. The next chapter shows how definite clause representation and reasoning systems can be extended to include the relation of equality and negation, and quantification of variables. This sets up naturally a discussion of first-order predicate calculus, but only a brief overview is given. A very short treatment of modal logic is given. Chapter 8 considers agents that act and reason in time, with three representations given for reasoning about time. These are the STRIPS representation (developed at Stanford University), the situation calculus, and the event calculus. It is then shown how these can be used to reason and produce plans to achieve goals. Although brief, the discussion is very interesting, and the authors give good references for further reading. The authors generalize their discussions to assumption-based reasoning in chapter 9, which up until this chapter has been restricted to reasoning from knowledge bases. Nonmonotonic reasoning is defined, along with abduction, which is a form of reasoning different from both deduction and induction, and which emphasizes hypothesis formation. Chapter 10 considers the more realistic situation whre the agents have incomplete or uncertain knowledge. This naturally brings up a discussion of probability, which the authors define as the study of how knowledge affects belief. They distinguish between evidence and background knowledge, the latter which is stated in terms of conditional probabilities, the former characterized by what is true in the situation being studied. Belief networks are introduced as a graphical representation of conditional independence, these graphs being directed and also acyclic (the latter for reasons of causality). An algorithm for determining the posterior distribution of belief networks is given, and is based on the idea that a belief network specifies a factorization of the joint probability distribution. A brief overview of decision networks is also given. The important topic of learning theory is overviewed in chapter 11. And, naturally, neural networks make their appearance here, although the discussion is very brief. PAC learning is also treated, as well as Bayesian learning. Unfortunately, the important field of inductive logic programming is not discussed, but some references are given. The last chapter covers artificial purposive agents, otherwise known as robots. This is a vast subject, and only a general overview is given here, but the authors do a good job of showing how robots can be characterized within the concepts outlined in the book. Dynamical systems are used to represent the agent function for a robot. Readers familiar with the theory of dynamical systems will see the state transition function appear here in a more general context. The states of an agent at time t encode all of the information about its history. The state transition functions acts on the states and percepts, with the percepts playing the role of time in the usual dynamical system. The appendices include a terminology list and a short introduction to PROLOG, along with a few examples of PROLOG code applied to some of the concepts in the book. Although very general, the inclusion of these examples are of further help in understanding the material in the book. ... Read more |
35. Artificial Intelligence and Natural Man, Second Edition by Margaret A. Boden | |
Paperback: 590
Pages
(1987-03-23)
list price: US$29.95 -- used & new: US$34.00 (price subject to change: see help) Asin: 0262521237 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description |
36. Recognition a Study in the Philosophy of Artificial Intelligence by Kenneth Sayre | |
Hardcover: 312
Pages
(1965-07)
list price: US$16.95 -- used & new: US$16.95 (price subject to change: see help) Asin: 0268002282 Canada | United Kingdom | Germany | France | Japan | |
37. Artificial Intelligence: Structures and Strategies for Complex Problem Solving (6th Edition) by George F. Luger | |
Hardcover: 784
Pages
(2008-03-07)
list price: US$124.00 -- used & new: US$93.56 (price subject to change: see help) Asin: 0321545893 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Key representation techniques including logic, semantic and connectionist networks, graphical models, and many more are introduced. Presentation of agent technology and the use of ontologies are added. A new machine-learning chapter is based on stochastic methods, including first-order Bayesian networks, variants of hidden Markov models, inference with Markov random fields and loopy belief propagation. A new presentation of parameter fitting with expectation maximization learning and structure learning using Markov chain Monte Carlo sampling. Use of Markov decision processes in reinforcement learning. Natural language processing with dynamic programming (the Earley parser) and other probabilistic parsing techniques including Viterbi, are added. A new supplemental programming book is available online and in print: AI Algorithms in Prolog, Lisp and Java ™. References and citations are updated throughout the Sixth Edition. For all readers interested in artificial intelligence. Customer Reviews (9)
good mention of Hidden Markov Models
Superficial and unclear
Fantastic Introduction to AI
this book not cover much
Good For Beginners in AI The only reason I wouldn't give this book 5 stars is because 2) There was very little or almost no depth in the material covered. I wanted to go on reading more about the advanced features, but that never happened. So, I had to go to the library and look for something there. But a great book for a college course. I wouldn't recommend this for a Grad course in CS...A grad student should be knowing beyond what this book covers. ... Read more |
38. The Quest for Artificial Intelligence by Nils J. Nilsson | |
Paperback: 584
Pages
(2009-10-30)
list price: US$39.99 -- used & new: US$24.83 (price subject to change: see help) Asin: 0521122937 Average Customer Review: Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Customer Reviews (4)
History of a Remarkable Technology
recommended!
An engaging, accessible and definitive history of artificial intelligence
Accessible to everyone- A lucid account of how AI has become a pervasive part of our lives |
39. Argumentation in Multi-Agent Systems: Third International Workshop, ArgMAS 2006, Hakodate, Japan, May 8, 2006, Revised Selected and Invited Papers (Lecture ... / Lecture Notes in Artificial Intelligence) | |
Paperback: 211
Pages
(2007-12-10)
list price: US$59.95 -- used & new: US$39.44 (price subject to change: see help) Asin: 354075525X Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description Argumentation provides tools for designing, implementing and analyzing sophisticated forms of interaction among rational agents. It has made a solid contribution to the practice of multiagent dialogues. Application domains include: legal disputes, business negotiation, labor disputes, team formation, scientific inquiry, deliberative democracy, ontology reconciliation, risk analysis, scheduling, and logistics. This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Argumentation in Multi-Agent Systems held in Hakodate, Japan, in May 2006 as an associated event of AAMAS 2006, the main international conference on autonomous agents and multi-agent systems. The volume opens with an original state-of-the-art survey paper presenting the current research and offering a comprehensive and up-to-date overview of this rapidly evolving area. The 11 revised articles that follow were carefully reviewed and selected from the most significant workshop contributions, augmented with papers from the AAMAS 2006 main conference, as well as from ECAI 2006, the biennial European Conference on Artificial Intelligence. |
40. Argumentation in Multi-Agent Systems: 4th International Workshop, ArgMAS 2007, Honolulu, HI, USA, May 15, 2007, Revised Selected and Invited Papers (Lecture ... / Lecture Notes in Artificial Intelligence) | |
Paperback: 235
Pages
(2008-04-28)
list price: US$59.95 -- used & new: US$43.67 (price subject to change: see help) Asin: 3540789146 Canada | United Kingdom | Germany | France | Japan | |
Editorial Review Product Description This volume presents the latest developments in the growing area of research at the interface of argumentation theory and multiagent systems. Argumentation provides tools for designing, implementing and analyzing sophisticated forms of interaction among rational agents. Application domains include: legal disputes, business negotiation, labor disputes, team formation, scientific inquiry, deliberative democracy, ontology reconciliation, risk analysis, scheduling, and logistics. The papers presented in this book constitute the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Argumentation in Multi-Agent Systems, held in Honolulu, HI, USA, in May 2007 as an associated event of AAMAS 2007, the main international conference on autonomous agents and multi-agent systems. A number of invited revised papers on argumentation in MAS are also included, from both AAMAS 2007 and AAAI 2007, the 22nd Conference on Artificial Intelligence. The book has been divided into three parts, each addressing an important problem in argumentation and multiagent systems. The first two parts focus on issues pertaining to dialogue and on using argumentation to automate or support various single agent reasoning tasks. The third part addresses an exciting new area in argumentation research, namely, the relationship between models of argumentation and models of learning. |
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