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| Author | : John McCarthy |
| Publisher | : Intellect Books |
| Total Pages | : 272 |
| Release | : 1990 |
| Genre | : Computers |
| ISBN | : |
This is a collection of papers written by John McCarthy on artificial intelligence. The papers range from informal surveys written for a general audience to technical discussions of research problems that should be of interest to specialists.
| Author | : John McCarthy |
| Publisher | : |
| Total Pages | : 29 |
| Release | : 1985 |
| Genre | : Artificial intelligence |
| ISBN | : |
| Author | : Richmond H. Thomason |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 230 |
| Release | : 2012-12-06 |
| Genre | : Philosophy |
| ISBN | : 9400924488 |
cians concerned with using logical tools in philosophy have been keenly aware of the limitations that arise from the original con centration of symbolic logic on the idiom of mathematics, and many of them have worked to create extensions of the received logical theories that would make them more generally applicable in philosophy. Carnap's Testability and Meaning, published in 1936 and 1937, was a good early example of this sort of research, motivated by the inadequacy of first-order formalizations of dis 'This sugar cube is soluble in water'. positional sentences like And in fact there is a continuous history of work on this topic, extending from Carnap's paper to Shoham's contribution to the present volume . . Much of the work in philosophical logic, and much of what has appeared in The Journal of Philosophical Logic, was mo tivated by similar considerations: work in modal logic (includ ing tense, deontic, and epistemic logic), intensional logics, non declaratives, presuppositions, and many other topics. In this sort of research, sin.ce the main point is to devise new formalisms, the technical development tends to be rather shallow in comparison with mathematical logic, though it is sel dom absent: theorems need to be proved in order to justify the formalisms, and sometimes these are nontrivial. On the other hand, much effort has to go into motivating a logical innovation.
| Author | : Andrew S. Gordon |
| Publisher | : Cambridge University Press |
| Total Pages | : 585 |
| Release | : 2017-09-07 |
| Genre | : Computers |
| ISBN | : 1107151007 |
This book formalizes commonsense knowledge to enable artificial intelligence to understand and engage with the mental lives of people.
| Author | : Renee Elio |
| Publisher | : Oxford University Press |
| Total Pages | : 294 |
| Release | : 2002-02-07 |
| Genre | : Philosophy |
| ISBN | : 0198033680 |
As the eleventh volume in the New Directions in Cognitive Science series (formerly the Vancouver Studies in Cognitive Science series), this work promises superb scholarship and interdisciplinary appeal. It addresses three areas of current and varied interest: common sense, reasoning, and rationality. While common sense and rationality often have been viewed as two distinct features in a unified cognitive map, this volume offers novel, even paradoxical, views of the relationship. Comprised of outstanding essays from distinguished philosophers, it considers what constitutes human rationality, behavior, and intelligence covering diverse areas of philosophy, psychology, cognitive science, and computer science. Indeed, it is at the forefront of cognitive research and promises to be of unprecedented influence across numerous disciplines.
| Author | : Renée Elio |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 294 |
| Release | : 2002 |
| Genre | : Common sense |
| ISBN | : 0195147677 |
While common sense and rationality often have been viewed as two distinct features in a unitifed cognitive map, this this volume offers novel, even paradoxical views of the relationship. Touching on various disciplines, it considers what constitutes human rationality, behavior, and intelligence.
| Author | : Roger Penrose |
| Publisher | : Oxford Paperbacks |
| Total Pages | : 634 |
| Release | : 1999-03-04 |
| Genre | : Computers |
| ISBN | : 0192861980 |
Winner of the Wolf Prize for his contribution to our understanding of the universe, Penrose takes on the question of whether artificial intelligence will ever approach the intricacy of the human mind. 144 illustrations.
| Author | : Colin Potts |
| Publisher | : |
| Total Pages | : |
| Release | : 1986 |
| Genre | : |
| ISBN | : |
| Author | : Murray Shanahan |
| Publisher | : MIT Press |
| Total Pages | : 456 |
| Release | : 1997 |
| Genre | : Computers |
| ISBN | : 9780262193849 |
In 1969, John McCarthy and Pat Hayes uncovered a problem that has haunted the field of artificial intelligence ever since--the frame problem. The problem arises when logic is used to describe the effects of actions and events. Put simply, it is the problem of representing what remains unchanged as a result of an action or event. Many researchers in artificial intelligence believe that its solution is vital to the realization of the field's goals. Solving the Frame Problem presents the various approaches to the frame problem that have been proposed over the years. The author presents the material chronologically--as an unfolding story rather than as a body of theory to be learned by rote. There are lessons to be learned even from the dead ends researchers have pursued, for they deepen our understanding of the issues surrounding the frame problem. In the book's concluding chapters, the author offers his own work on event calculus, which he claims comes very close to a complete solution to the frame problem. Artificial Intelligence series
| Author | : Frank van Harmelen |
| Publisher | : Elsevier |
| Total Pages | : 1035 |
| Release | : 2008-01-08 |
| Genre | : Computers |
| ISBN | : 0080557023 |
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily
