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Author: James Allen
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 0
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Book Description
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: John L. Pollock
Publisher: Oxford University Press
ISBN: 9780195304817
Category : Business & Economics
Languages : en
Pages : 292
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Book Description
This work aims to construct a theory of rational decision making for real, resource-bounded, agents. Such decision making must be based on objective probabilities rather than subjective probabilities, and can't be done by choosing single action with maxmimal expected values.
Author: James Allen
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 0
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Book Description
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: Katia P. Sycara
Publisher: Morgan Kaufmann
ISBN: 9781558601642
Category : Computers
Languages : en
Pages : 532
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Book Description
Author: Sven Hartmann
Publisher: Springer Science & Business Media
ISBN: 3540776834
Category : Computers
Languages : en
Pages : 408
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Book Description
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.
Author:
Publisher: Morgan Kaufmann
ISBN: 9781558603455
Category : Expert systems (Computer science)
Languages : en
Pages : 558
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Book Description
Author: Erik T. Mueller
Publisher: Elsevier
ISBN: 0080476619
Category : Computers
Languages : en
Pages : 431
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Book Description
To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik T. Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions to problems that span many areas of the commonsense world. - Covers key areas of commonsense reasoning including action, change, defaults, space, and mental states. - The first full book on commonsense reasoning to use the event calculus. - Contextualizes the event calculus within the framework of commonsense reasoning, introducing the event calculus as the best method overall. - Focuses on how to use the event calculus formalism to perform commonsense reasoning, while existing papers and books examine the formalisms themselves. - Includes fully worked out proofs and circumscriptions for every example.
Author: Michael Bratman
Publisher: Stanford Univ Center for the Study
ISBN: 9781575861920
Category : Philosophy
Languages : en
Pages : 200
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Book Description
Bratman develops a planning theory of intention in this book.
Author: William Hammond Hall
Publisher:
ISBN:
Category : Panama Canal (Panama)
Languages : en
Pages : 46
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Book Description
Author: Lila R. Gleitman
Publisher: Psychology Press
ISBN: 9780805838794
Category : Language Arts & Disciplines
Languages : en
Pages : 1108
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Book Description
Vol inclu all ppers & postrs presntd at 2000 Cog Sci mtg & summaries of symposia & invitd addresses. Dealg wth issues of representg & modelg cog procsses, appeals to scholars in all subdiscip tht comprise cog sci: psy, compu sci, neuro sci, ling, & philo
Author: Patrik Haslum
Publisher: Morgan & Claypool Publishers
ISBN: 1627057374
Category : Computers
Languages : en
Pages : 189
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Book Description
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans, most importantly the reasoning that goes into formulating a plan to achieve a given goal in a given situation. AI planning is model-based: a planning system takes as input a description (or model) of the initial situation, the actions available to change it, and the goal condition to output a plan composed of those actions that will accomplish the goal when executed from the initial situation. The Planning Domain Definition Language (PDDL) is a formal knowledge representation language designed to express planning models. Developed by the planning research community as a means of facilitating systems comparison, it has become a de-facto standard input language of many planning systems, although it is not the only modelling language for planning. Several variants of PDDL have emerged that capture planning problems of different natures and complexities, with a focus on deterministic problems. The purpose of this book is two-fold. First, we present a unified and current account of PDDL, covering the subsets of PDDL that express discrete, numeric, temporal, and hybrid planning. Second, we want to introduce readers to the art of modelling planning problems in this language, through educational examples that demonstrate how PDDL is used to model realistic planning problems. The book is intended for advanced students and researchers in AI who want to dive into the mechanics of AI planning, as well as those who want to be able to use AI planning systems without an in-depth explanation of the algorithms and implementation techniques they use.
