Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems (The MIT Press) by Raymond Reiter (PDF)

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Ebook Info

  • Published: 2001
  • Number of pages: 445 pages
  • Format: PDF
  • File Size: 1.72 MB
  • Authors: Raymond Reiter

Description

Specifying and implementing dynamical systems with the situation calculus.Modeling and implementing dynamical systems is a central problem in artificial intelligence, robotics, software agents, simulation, decision and control theory, and many other disciplines. In recent years, a new approach to representing such systems, grounded in mathematical logic, has been developed within the AI knowledge-representation community.This book presents a comprehensive treatment of these ideas, basing its theoretical and implementation foundations on the situation calculus, a dialect of first-order logic. Within this framework, it develops many features of dynamical systems modeling, including time, processes, concurrency, exogenous events, reactivity, sensing and knowledge, probabilistic uncertainty, and decision theory. It also describes and implements a new family of high-level programming languages suitable for writing control programs for dynamical systems. Finally, it includes situation calculus specifications for a wide range of examples drawn from cognitive robotics, planning, simulation, databases, and decision theory, together with all the implementation code for these examples. This code is available on the book’s Web site.

User’s Reviews

Editorial Reviews: Review This outstanding work should be on the shelf of anyone concerned with logical control of physical processes.―Anil Nerode, Goldwin Smith Professor of Mathematics, Cornell University About the Author Raymond Reiter is Professor and Co-Director of the Cognitive Robotics Project in the Department of Computer Science at the University of Toronto.

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐It is rare that a book appears which presents a solution to a major outstanding problem. It is even rarer when a book presents a solution which is both theoretically sound and undeniably practical. But this is such a book. The frame problem, which went unnoticed for the first 70 years of logic, and unsolved for the next 30, here gets a solution.This book is the distillation of Reiter’s lifeswork. Unlike many other such books, however, it is not a mere cut-n-paste of conference papers and tech reports. Instead of being a pastiche, it is rather a continuous, sustained argument, persuasively and clearly presented. A masterpiece.There is something here to infuriate everybody. Those who think that AI shouldn’t be using logic-based methods will be infuriated because Reiter has here, for the first time, made them work. Those who think that first-order logic is the only true logic will be infuriated, because Reiter shows how 2nd order logic is key. Those who think that AI is too theoretical will be infuriated because this is a practical book. Those who think that AI shouldn’t worry about being practical will be infuriated, because Reiter has shown that the best theory leads to the most practical solution. Those who are LISP fans will be infuriated because his methods lead inexorably to PROLOG. Read the book, be infuriated by it, and humbly learn from it. The master speaks.If you’ve made it to this web page or this far in the review, you have to buy and read this book 🙂

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Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems (The MIT Press) PDF Free Download
Download Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems (The MIT Press) 2001 PDF Free
Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems (The MIT Press) 2001 PDF Free Download
Download Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems (The MIT Press) PDF
Free Download Ebook Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems (The MIT Press)

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