Knowledge in action : logical foundations for specifying and implementing dynamical systems / Raymond Reiter.

Knowledge in action : logical foundations for specifying and implementing dynamical systems / Raymond Reiter.

9780262282314 (electronic bk.)
0262282313 (electronic bk.)
0585448302 (electronic bk.)
9780585448305 (electronic bk.)
0262182181
9780262182188
0262527006
9780262527002

Cambridge, Mass. : MIT Press, ©2001.

©2001

English

1 online resource (xvi, 424 pages) : illustrations

Q387 .R48 2001eb

006.3/32

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.

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.

Access limited to authorized users.

OCLC-licensed vendor bibliographic record.

Online Access through The MIT Press Direct
OCLC metadata license agreement

Online Resources > Ebooks
All Resources