document
... Top-down reasoning is powerful, but it can be dangerous if it is not accompanied by bottom-up reasoning. For example, Otto Jesperson assumed that men were better thinkers than women. ...
... Top-down reasoning is powerful, but it can be dangerous if it is not accompanied by bottom-up reasoning. For example, Otto Jesperson assumed that men were better thinkers than women. ...
Modelling the Enemy: Recursive Cognitive Models in Dynamic Environments
... environments where human and software agents were designed to be interchangeable, this assumption was often not the case. Thagard's research does not suggest the likely outcome of the modelling however, when the opponent's cognitive ability is not known such as modelling between human and computer e ...
... environments where human and software agents were designed to be interchangeable, this assumption was often not the case. Thagard's research does not suggest the likely outcome of the modelling however, when the opponent's cognitive ability is not known such as modelling between human and computer e ...
26 Some Philosophical Problems from the Standpoint of
... The idea of an intelligent machine is old, but serious work on the problem of artificial intelligence or even serious understanding of what the problem is awaited the stored-program computer. We may regard the subject of artificial intelligence as beginning with Turing's article 'Computing Machinery ...
... The idea of an intelligent machine is old, but serious work on the problem of artificial intelligence or even serious understanding of what the problem is awaited the stored-program computer. We may regard the subject of artificial intelligence as beginning with Turing's article 'Computing Machinery ...
Logic Programming for Knowledge Representation
... Derivable models. A set M of atoms is a derivable model of a Horn constraint program P if there exists a P -computation t such that M = Rt . If a Horn constraint program has a model, one can show that it has computations and, consequently, derivable models. By our comment above, derivable models of ...
... Derivable models. A set M of atoms is a derivable model of a Horn constraint program P if there exists a P -computation t such that M = Rt . If a Horn constraint program has a model, one can show that it has computations and, consequently, derivable models. By our comment above, derivable models of ...
6 knowledge representation and reasoning
... Knowledge representation (KR) and reasoning are closely coupled components; each is intrinsically tied to the other. A representation scheme is not meaningful on its own; it must be useful and helpful in achieve certain tasks. The same information may be represented in many different ways, depending ...
... Knowledge representation (KR) and reasoning are closely coupled components; each is intrinsically tied to the other. A representation scheme is not meaningful on its own; it must be useful and helpful in achieve certain tasks. The same information may be represented in many different ways, depending ...
1. The Concept of Artificial Intelligence Artificial Intelligence (AI) is a
... finding solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements establis ...
... finding solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements establis ...
Developing Backward Chaining Algorithm of Inference Engine in
... Expert system is also applied artificial intelligence. Expert systems are programs for storing and processing knowledge of a special area, that why they are able to answer to questions and solve problems, with which experts normally deal [6]. In the current situation, expert system is an intelligent ...
... Expert system is also applied artificial intelligence. Expert systems are programs for storing and processing knowledge of a special area, that why they are able to answer to questions and solve problems, with which experts normally deal [6]. In the current situation, expert system is an intelligent ...
Can Machines Think - New York University
... judgments of intelligence by whether the contestant had soft skin, warm blood, facial features, hands and eyes--which are obviously not themselves essential components of intelligence--so he devised a screen that would let through only a sample of what really mattered: the capacity to understand, an ...
... judgments of intelligence by whether the contestant had soft skin, warm blood, facial features, hands and eyes--which are obviously not themselves essential components of intelligence--so he devised a screen that would let through only a sample of what really mattered: the capacity to understand, an ...
CS 4700: Foundations of Artificial Intelligence Bart Selman Problem
... -1 loss under perfect play. Perfect play: all powerful opponent. Given f, how would you play then? In practice, we only know (so far) of an approximation of f. f(board) à [-1,+1] (interval from -1 to +1) based on “values” of chess pieces, e.g., pawn 1 point, rook 5 points. Informally, board value g ...
... -1 loss under perfect play. Perfect play: all powerful opponent. Given f, how would you play then? In practice, we only know (so far) of an approximation of f. f(board) à [-1,+1] (interval from -1 to +1) based on “values” of chess pieces, e.g., pawn 1 point, rook 5 points. Informally, board value g ...
Search --- Uninformed
... value) is a very general and useful idea. Examples: • TD-Gammon backgammon player. Neural net was trained to find approximately optimal state (board) evaluation values (range [-1,+1]). (Tesauro 1995) • “Robocopter” --- automated helicopter control; trained state evaluation function. State given by f ...
... value) is a very general and useful idea. Examples: • TD-Gammon backgammon player. Neural net was trained to find approximately optimal state (board) evaluation values (range [-1,+1]). (Tesauro 1995) • “Robocopter” --- automated helicopter control; trained state evaluation function. State given by f ...
ITEC 1010 Information and Organizations - ExSys
... future of artificial intelligence and of computers in general. To date, however, they have not lived up to expectations. Many expert systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. Today, the ho ...
... future of artificial intelligence and of computers in general. To date, however, they have not lived up to expectations. Many expert systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. Today, the ho ...
PUFF: An Expert System for Interpretation of
... case. The medical knowledge in PUFF is encoded as Vuies? ...
... case. The medical knowledge in PUFF is encoded as Vuies? ...
Improving Control-Knowledge Acquisition for Planning by Active
... theory assumes) that if hamlet sees enough random problems covering reasonably well the space of problems, and it learns from them, the learned knowledge will be reasonably adapted to the future. This solution requires to build one ...
... theory assumes) that if hamlet sees enough random problems covering reasonably well the space of problems, and it learns from them, the learned knowledge will be reasonably adapted to the future. This solution requires to build one ...
An Expert System Approach for determine the stage of UiTM Perlis
... promotion to higher rank, whether individual performance or in a group. Cadets are selected for promotion based on demonstrated leadership abilities, acquired skills, physical fitness, and comprehension of information as measured through standardized testing. However, this method is too complicated ...
... promotion to higher rank, whether individual performance or in a group. Cadets are selected for promotion based on demonstrated leadership abilities, acquired skills, physical fitness, and comprehension of information as measured through standardized testing. However, this method is too complicated ...
Expert Systems
... Therefore the selection of the knowledge representation scheme is one of the most critical decision in ES design. ...
... Therefore the selection of the knowledge representation scheme is one of the most critical decision in ES design. ...
Artificial Intelligence
... In general a search state may not do either of those it may not specify everything about a possible solution it may not solve the problem or extend to a solution ...
... In general a search state may not do either of those it may not specify everything about a possible solution it may not solve the problem or extend to a solution ...
Grounding and Solving in Answer Set Programming
... The instantiation is infinite; indeed the grounding of the recursive rule, at the first iteration adds to the set of extensions S the ground atom p(f(0)), that is used in the next iteration, producing p(f(f(0)) and so on. Despite this, grounders like the one in dlv and gringo allow to deal with recu ...
... The instantiation is infinite; indeed the grounding of the recursive rule, at the first iteration adds to the set of extensions S the ground atom p(f(0)), that is used in the next iteration, producing p(f(f(0)) and so on. Despite this, grounders like the one in dlv and gringo allow to deal with recu ...
Semantic Web - University of Huddersfield
... are really “sub-symbolic” techniques – like evolutionary computing (genetic algorithms) or swarm intelligence (connectionist approaches..) Their main advantage is their “robustness” or lack of brittleness and their potential to scale-up. ...
... are really “sub-symbolic” techniques – like evolutionary computing (genetic algorithms) or swarm intelligence (connectionist approaches..) Their main advantage is their “robustness” or lack of brittleness and their potential to scale-up. ...
Role of Expert Systems in Construction Roboticsl
... • Backtracking. The problem reduction approach is applicable to problems that can be subdivided into a tree of fixed subproblems. However, in a number of practical problems it may not be possible to decompose problems into a fixed set of subproblems. A number of alternate approaches may exist. In ba ...
... • Backtracking. The problem reduction approach is applicable to problems that can be subdivided into a tree of fixed subproblems. However, in a number of practical problems it may not be possible to decompose problems into a fixed set of subproblems. A number of alternate approaches may exist. In ba ...
Artificial Intelligence!
... For my second move: If you did not go there already then draw an X in the opposite corner to my first move for me. ...
... For my second move: If you did not go there already then draw an X in the opposite corner to my first move for me. ...
Problem Solving by Search - Cornell Computer Science
... value) is a very general and useful idea. Examples: • TD-Gammon backgammon player. Neural net was trained to find approximately optimal state (board) evaluation values (range [-1,+1]). (Tesauro 1995) • “Robocopter” --- automated helicopter control; trained state evaluation function. State given by f ...
... value) is a very general and useful idea. Examples: • TD-Gammon backgammon player. Neural net was trained to find approximately optimal state (board) evaluation values (range [-1,+1]). (Tesauro 1995) • “Robocopter” --- automated helicopter control; trained state evaluation function. State given by f ...
Problem Solving and Search (part 1)
... value) is a very general and useful idea. Examples: • TD-Gammon backgammon player. Neural net was trained to find approximately optimal state (board) evaluation values (range [-1,+1]). (Tesauro 1995) • “Robocopter” --- automated helicopter control; trained state evaluation function. State given by f ...
... value) is a very general and useful idea. Examples: • TD-Gammon backgammon player. Neural net was trained to find approximately optimal state (board) evaluation values (range [-1,+1]). (Tesauro 1995) • “Robocopter” --- automated helicopter control; trained state evaluation function. State given by f ...
1010-Chapter11 - ODU Computer Science
... future of artificial intelligence and of computers in general. To date, however, they have not lived up to expectations. Many expert systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. Today, the ho ...
... future of artificial intelligence and of computers in general. To date, however, they have not lived up to expectations. Many expert systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. Today, the ho ...
Artificial Intelligence and Expert Systems
... future of artificial intelligence and of computers in general. To date, however, they have not lived up to expectations. Many expert systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. Today, the ho ...
... future of artificial intelligence and of computers in general. To date, however, they have not lived up to expectations. Many expert systems help human experts in such fields as medicine and engineering, but they are very expensive to produce and are helpful only in special situations. Today, the ho ...