Although nowadays there is some degree of success on the called “knowledge‐based systems” and in certain technologies using knowledge representations, no single knowledge representations has been found complete enough to represent satisfactorily all the requirements posed by common cognitive processes, able to be manipulated by general purpose algorithms, nor to satisfy all sorts of a…
"The authors of Machines Like Us explore what it would take to endow computers with the kind of common sense that humans depend on every day--critically needed for AI systems to be successful in the world and to become trustworthy"--OCLC-licensed vendor bibliographic record.
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 …