[PDF] Reasoning About Actions Plans eBook

Author : Michael P. Georgeff
Publisher : Elsevier
Page : 432 pages
File Size : 43,3 MB
Release : 2012-12-02
Category : Computers
ISBN : 0323141722

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Reasoning About Actions and Plans discusses approaches to a number of the more challenging problems in reasoning about the future and forming plans of action to achieve their goals. Reasoning about actions and plans can be seen as fundamental to the development of intelligent machines that are capable of dealing effectively with real-world problems. This book comprises 17 chapters, with the first delving into the semantics of STRIPS. The following chapters then discuss a theory of plans; formulating multiagent, dynamic-world problems in the classical planning framework; and a representation of parallel activity based on events, structure, and causality. Other chapters cover branching regular expressions and multi-agent plans; a representation of action and belief for automatic planning systems; possible worlds planning; and intractability and time-dependent planning. The remaining chapters discuss goal structure, holding periods and "clouds"; a model of plan inference that distinguishes between the beliefs of actors and observers; persistence, intention, and commitment; the context-sensitivity of belief and desire; the doxastic theory of intention; an architecture for intelligent reactive systems; and abstract reasoning as emergent from concrete activity. This book will be of interest to practitioners in the fields of cognition and artificial intelligence.

Author : James Allen
Publisher : Morgan Kaufmann
Page : 317 pages
File Size : 20,42 MB
Release : 2014-06-28
Category : Computers
ISBN : 1483295966

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This book presents four contributions to planning research within an integrated framework. James Allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, Henry Kautz develops the first formal specification of the plan recognition process and develops a powerful family of algorithms for plan recognition in complex situations. Richard Pelavin then extends the temporal logic with model operators that allow the representation to support reasoning about complex planning situations involving simultaneous interacting actions, and interaction with external events. Finally, Josh Tenenberg introduces two different formalisms of abstraction in planning systems and explores the properties of these abstraction techniques in depth.

Author : Oliviero Stock
Publisher : Springer Science & Business Media
Page : 352 pages
File Size : 44,34 MB
Release : 2006-09-04
Category : Computers
ISBN : 3540379010

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The present book is a festschrift in honor of Luigia Carlucci Aiello. The 18 articles included are written by former students, friends, and international colleagues, who have cooperated with Luigia Carlucci Aiello, scientifically or in AI boards or committees. The contributions by reputed researchers span a wide range of AI topics and reflect the breadth and depth of Aiello's own work.

Author : Malke Rosenfeld
Publisher : Heinemann Educational Books
Page : 0 pages
File Size : 28,81 MB
Release : 2016-10-18
Category : Education
ISBN : 9780325074702

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"Kids love to move. But how do we harness all that kinetic energy effectively for math learning? In Math on the Move, Malke Rosenfeld shows how pairing math concepts and whole body movement creates opportunities for students to make sense of math in entirely new ways. Malke shares her experience creating dynamic learning environments by: exploring the use of the body as a thinking tool, highlighting mathematical ideas that are usefully explored with a moving body, providing a range of entry points for learning to facilitate a moving math classroom. ..."--Publisher description.

Author : Célia da Costa Pereira
Publisher : Infinite Study
Page : 19 pages
File Size : 50,41 MB
Release :
Category :
ISBN :

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This article is a first step in the direction of extending possibilistic planning to account for incomplete and imprecise knowledge of the world state.

Author : James Allen
Publisher : Morgan Kaufmann
Page : 328 pages
File Size : 10,10 MB
Release : 1991-07
Category : Computers
ISBN :

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This book presents four contributions to planning research within an integrated framework. James Allen offers a survey of his research in the field of temporal reasoning, and then describes a planning system formalized and implemented directly as an inference process in the temporal logic. Starting from the same logic, Henry Kautz develops the first formal specification of the plan recognition process and develops a powerful family of algorithms for plan recognition in complex situations. Richard Pelavin then extends the temporal logic with model operators that allow the representation to support reasoning about complex planning situations involving simultaneous interacting actions, and interaction with external events. Finally, Josh Tenenberg introduces two different formalisms of abstraction in planning systems and explores the properties of these abstraction techniques in depth.

Author : David E. Wilkins
Publisher : Elsevier
Page : 221 pages
File Size : 35,10 MB
Release : 2014-06-28
Category : Computers
ISBN : 0080514472

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Planning, or reasoning about actions, is a fundamental element of intelligent behavior--and one that artificial intelligence has found very difficult to implement. The most well-understood approach to building planning systems has been under refinement since the late 1960s and has now reached a level of maturity where there are good prospects for building working planners. Practical Planning is an in-depth examination of this classical planning paradigm through an intensive case study of SIPE, a significantly implemented planning system. The author, the developer of SIPE, defines the planning problem in general, explains why reasoning about actions is so complex, and describes all parts of the SIPE system and the algorithms needed to achieve efficiency. Details are discussed in the context of problems and important issues in building a practical planner; discussions of how other systems address these issues are also included. Assuming only a basic background in AI, Practical Planning will be of great interest to professionals interested in incorporating planning capabilities into AI systems.