Theoretical Aspects of Reasoning About Knowledge Proceedings of the 1986 Conference, March 19-22, 1986, Monterey, California by Joseph Y. Halpern

Cover of: Theoretical Aspects of Reasoning About Knowledge | Joseph Y. Halpern

Published by Morgan Kaufmann Publishers .

Written in English

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Subjects:

  • Artificial Intelligence - General,
  • Logic, Symbolic and mathematic,
  • Epistemology,
  • Computers - General Information,
  • Knowledge, Theory of,
  • Reasoning,
  • Epistemology, theory of knowledge,
  • Computer Bks - General Information,
  • Artificial Intelligence,
  • Congresses

Book details

The Physical Object
FormatPaperback
Number of Pages407
ID Numbers
Open LibraryOL8390476M
ISBN 100934613044
ISBN 109780934613040

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Theoretical Aspects of Reasoning About Knowledge: Proceedings of the Conference focuses on the principles, methodologies, approaches, and concepts involved in reasoning about knowledge.

The selection first provides an overview of reasoning about knowledge, varieties of. The conference provided a forum for discussing the theoretical aspects of reasoning about knowledge and tackled topics ranging from the logic of iterated belief revision and backwards forward induction to information acquisition from multi-agent resources, infinitely epistemic logic, and coherent belief revision in.

@article{osti_, title = {Theoretical aspects of reasoning about knowledge}, author = {Halpern, J.Y.}, abstractNote = {This book contains papers presented at a. The conference provided a forum for discussing the theoretical aspects of reasoning about knowledge and tackled topics ranging from the logic of iterated belief revision and backwards forward induction to information acquisition from multi-agent resources, infinitely epistemic logic, and coherent belief revision in Edition: 1.

Theoretical Aspects of Reasoning About Knowledge: Proceedings of the Conference focuses on the principles, methodologies, approaches, and concepts involved in reasoning about knowledge. The selection first provides an overview of reasoning about knowledge, varieties of self-reference, and pegs and Edition: 1.

Buy Theoretical Aspects of Reasoning About Knowledge: Proceedings of the Conference: Read Books Reviews - Get this from a library.

Theoretical aspects of reasoning about knowledge: proceedings of the fourth conference (TARK ): March, Monterey, Calif. [Yôrām Moše; Conference on Theoretical Aspects of Reasoning about Knowledge (4,Monterey, Calif.);]. To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems.

However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated. Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e.

Theoretical Aspects of Reasoning About Knowledge book by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can by: This thesis studies qualitative and semi-quantitative nonmonotonic reasoning.

It examines and compares inference relations set up on knowledge bases of trivalent DeFinetti conditionals regarding their formal properties, computational complexity and expressive power for psychological findings. Get this from a library. Theoretical aspects of reasoning about knowledge: proceedings of the fourth conference (TARK ).

[Yoram Moses;]. Book Review: Theoretical Aspects of Reasoning about Knowledge: Proceedings of the Conference Alan Garnham The Quarterly Journal of Experimental Psychology Section A Author: Alan Garnham. The mission of the bi-annual TARK conferences is to bring together researchers from a wide variety of fields - including Artificial Intelligence, Cryptography, Distributed Computing, Economics and Game Theory, Linguistics, Logic, Philosophy, and Psychology, in order to further our understanding of interdisciplinary issues involving reasoning about rationality and knowledge.

Abstracts Theoretical Aspects of Reasoning About Knowledge: Proceedings of the Conference. Joseph Y. Halpern (editor) This is the proceedings of the first TARK conference, with papers by (among others) Aumann, Hintikka, Fagin, Moses, and Vardi.

Practical Aspects of Theoretical Reasoning Gilbert Harman Princeton University Albert thinks about what route to take to get to Boston.

He thinks that, while the direct western route is faster, the scenic eastern route is longer but more enjoyable with less traffic. He is in a bit of a hurry but could probably arrive on time going either way. HeFile Size: KB. Nonmonotonic reasoning is a discipline of computer science, epistemology, and cognition: It models inferences where classical logic is inadequate in symbolic AI, defines normative models for reasoning with defeasible information in epistemology, and models human reasoning under.

@article{osti_, title = {Aspects of artificial intelligence}, author = {Fetzer, J.H.}, abstractNote = {The first part of the book contains papers dealing with AI in relation to the philosophy of language and the theory of mind, and is thus ontological in nature, whereas the second part treats AI in relation to the theory of knowledge and the philosophy of science, and is thus concerned.

Bjorndahl A, Halpern J and Pass R Reasoning about justified belief Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge, () Zhou C, Sun B and Liu Z () Abstraction for model checking multi-agent systems, Frontiers of Computer Science in China,(), Online publication date: 1-Mar   Proceedings of the Second Conference on Theoretical Aspects of Reasoning about Knowledge: March, Pacific Grove, California by Conference on Theoretical Aspects of Reasoning about Knowledge (2nd: Pacific Grove, Calif.); Vardi, Moshe Y; Almaden Research Center (IBM Research)Pages: To-date computers are supposed to store and exploit knowledge.

At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated Price: $ Editorial team.

General Editors: David Bourget (Western Ontario) David ChalmersCited by: Logicians who reason about themselves. Theoretical aspects of reasoning about knowledge, Proceedings of the conference, edited by Halpern Joseph Y., Morgan Kaufmann Publishers, Los Altos Author: William Rapaport.

Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e.

pervaded by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.

The contribution deals with knowledge of what to do, and how, where, when and why to do it, as it is found in a multitude of plans, rules, procedures, maxims, and other instructions.

It is argued that while this knowledge is conceptual and propositional, it is still irreducible to theoretical knowledge of what is the case and why it is the case. To-date computers are supposed to store and exploit knowledge.

At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge.4/5(3).

Define theoretical. theoretical synonyms, theoretical pronunciation, theoretical translation, English dictionary definition of theoretical. also theoretic adj. Of, relating to, or based on theory. Pawlak, Z. () Rough Sets Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishing, Dordrecht.

Speculative reason, sometimes called theoretical reason or pure reason, is theoretical (or logical, deductive) thought, as opposed to practical (active, willing) distinction between the two goes at least as far back as the ancient Greek philosophers, such as Plato and Aristotle, who distinguished between theory (theoria, or a wide, bird's eye view of a topic, or clear vision of its Concepts: A priori knowledge, Analysis.

Theoretical reason definition is - reason leading to cognition: the capacity to grasp the universal in the particular —contrasted with practical reason. Bjorndahl A, Halpern J and Pass R Reasoning about justified belief Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge, () van der Hoek W, Troquard N and Wooldridge M Knowledge and control The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2, ().

This theoretical knowledge increases nursing's power and provides professional autonomy through its ability to guide practice, education and research.

Orem's self- care model, uses the concept of self- care with increased emphasis on health promotion and illness prevention. This is the first book on this subject. It begins with the state of the art in related topics such as data uncertainty, knowledge modeling, and the biomechanics of the musculoskeletal system, followed by fundamental and theoretical aspects of this field.

Much of AI involves building systems that are knowledge-based ability derives in part from reasoning over explicitly represented knowledge – language understanding, – planning, – diagnosis, – “expert systems”, etc.

Some, to a certain extent game-playing, vision, etc. Reasoning is one process used to obtain knowledge. There are other processes as well, such as observation. Imagination might also sometimes be considered a process used to obtain knowledge, but not usually in western analytic philosophy (you might.

I'm trying to study for a final in philosophy and the professor wants us to be able to talk about the difference between practical theoretical reasoning, but I don't have anything about this in my notes and it doesn't look like he has it in his lecture notes either, so I was hoping someone could give me a run-down of what they are in simple terms.

Springer, This book is devoted to some areas of research in Artificial Intelligence: knowledge, imprecison, vagueness, learning, induction and others. The topics addressed in this book have a long history and an overlap with other fields like philosophy, psychology and logic, and a.

• Associated methods of automated reasoning • The three systems that we saw – use symbolic knowledge representation and reasoning – But, they also use non-symbolic methods • Non-symbolic methods are covered in other courses (CS, CS, ) • This course would be better labeled as a course on Symbolic Representation and Reasoning.

Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory.

It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is 3/5(3). Jurisprudence or legal theory is the theoretical study of rs of jurisprudence seek to explain the nature of law in its most general form and provide a deeper understanding of legal reasoning, legal systems, legal institutions, and the role of law in society.

Modern jurisprudence began in the 18th century and was focused on the first principles of natural law, civil law, and the law. The online edition of this book can be cited with.

Author's Preface. This is a book about intelligent reasoning. Reasoning is the process of drawing conclusions; intelligent reasoning is the kind of reasoning performed by humans. This is not to say that this book is about the psychological aspects of human reasoning: rather, it discusses methods to implement intelligent reasoning by means of.

Theorytical knowledge: Jump into water. Come to the top surface, Kick your legs and arms. Result: You'll drown in water. Practical knowledge: Learn swimming with the help of an experienced instructor for a couple of days. Result: You can easil.Reasoning about knowledge—particularly the knowledge of agents who reason about the world and each other's knowledge—was once the exclusive province of philosophers and puzzle solvers.

More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms.Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and.

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