Knowledge In Action
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Knowledge in Action
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.
Action, Knowledge, and Will
John Hyman explores central problems in philosophy of action and the theory of knowledge, and connects these areas of enquiry in a new way. His approach to the dimensions of human action culminates in an original analysis of the relation between knowledge and rational behaviour, which provides the foundation for a new theory of knowledge itself.
Knowledge for Action
Uncovering roadblocks to improvement; Diagnosing and intervening in the organization; Using key learnings to solve problem situations.