S04601119125
... Everyone is dependent to perform most of their tasks using computers. The major input devices are keyboard and mouse. But there are a wide range of health problems that affects many people, caused by the constant and continuous work with the computer. Direct use of hands as an input device is an att ...
... Everyone is dependent to perform most of their tasks using computers. The major input devices are keyboard and mouse. But there are a wide range of health problems that affects many people, caused by the constant and continuous work with the computer. Direct use of hands as an input device is an att ...
Tetris Agent Optimization Using Harmony Search Algorithm
... algorithm part of the program while the Tetris game simulator is composed of our Tetris agent as well as the Tetris game itself. The solution optimizer generates harmonies or solutions in . Each of the form of a set of weights; normally, to this set of weights is passed to the Tetris game simulator, ...
... algorithm part of the program while the Tetris game simulator is composed of our Tetris agent as well as the Tetris game itself. The solution optimizer generates harmonies or solutions in . Each of the form of a set of weights; normally, to this set of weights is passed to the Tetris game simulator, ...
States
... A breadth-first search uses a queue; a depth-first search uses a stack Recursive routines automatically use a stack It is possible (and easy) to write a depth-first search using the automatic stack If you do a breadth-first search, you have to implement the queue yourself ...
... A breadth-first search uses a queue; a depth-first search uses a stack Recursive routines automatically use a stack It is possible (and easy) to write a depth-first search using the automatic stack If you do a breadth-first search, you have to implement the queue yourself ...
Brand-turing_short
... Universal social machines? Manuella Veloso: Universal robots? Ron Brachman (description logic; AI; VP Yahoo! Labs): If intelligence is like athleticism in that there is no single sport metric, what is our aim? ...
... Universal social machines? Manuella Veloso: Universal robots? Ron Brachman (description logic; AI; VP Yahoo! Labs): If intelligence is like athleticism in that there is no single sport metric, what is our aim? ...
An introduction to artificial intelligence applications in petroleum
... of multilateral wells. The reasoning process in this expert system is based on a systematic planning approach for screening and selecting multilateral well candidates, lateral-section completion types, and the junction levels of complexity. In the 6th paper by Lim of Korea Maritime University, an in ...
... of multilateral wells. The reasoning process in this expert system is based on a systematic planning approach for screening and selecting multilateral well candidates, lateral-section completion types, and the junction levels of complexity. In the 6th paper by Lim of Korea Maritime University, an in ...
Introduction to the COMTEX Microfiche Edition of the SRI Artificial
... (For robot navigation problems, the heuristic component was set equal to the straight-line distance to the goal location.) As Cordell Green’s work on resolution theorem proving was progressing at a fast pace, we decided that the “highlevel” problem solving Shakey had to perform in determining how to ...
... (For robot navigation problems, the heuristic component was set equal to the straight-line distance to the goal location.) As Cordell Green’s work on resolution theorem proving was progressing at a fast pace, we decided that the “highlevel” problem solving Shakey had to perform in determining how to ...
Q - Computer History Museum
... years during the period from 1948 to 1963 with a couple of gaps, said to me, “I feel very sorry for your money, David.” On the other hand, the Dutch mathematician Max Euwe who held the world championship title for two years from 1935 to 1937, as soon as he heard about my bet he wanted to take a shar ...
... years during the period from 1948 to 1963 with a couple of gaps, said to me, “I feel very sorry for your money, David.” On the other hand, the Dutch mathematician Max Euwe who held the world championship title for two years from 1935 to 1937, as soon as he heard about my bet he wanted to take a shar ...
Introduction to Computer Vision
... the same images on our retinas, there is no fool-proof way of distinguishing among the various structures or objects that might have created a particular image. Thus, if our goal is to infer the state of the world with certainty, then we are defeated from the start. In mathematical terms, vision is ...
... the same images on our retinas, there is no fool-proof way of distinguishing among the various structures or objects that might have created a particular image. Thus, if our goal is to infer the state of the world with certainty, then we are defeated from the start. In mathematical terms, vision is ...
Introduction to Artificial Intelligence and Search problems
... https://www.youtube.com/watch?v=qv6UVOQ0 F44 https://www.youtube.com/watch?v=mSh67zb0Z m4 ...
... https://www.youtube.com/watch?v=qv6UVOQ0 F44 https://www.youtube.com/watch?v=mSh67zb0Z m4 ...
Controlling a mobile robot with Visual Prolog 7
... When the computer takes control, robot becomes passive and obeys the computer. The advantage of such system is that even in the case of a mistake or a controversial command from computer, robot can still evade dangerous situations because of unconditional reflexes. Combination of simple low-level re ...
... When the computer takes control, robot becomes passive and obeys the computer. The advantage of such system is that even in the case of a mistake or a controversial command from computer, robot can still evade dangerous situations because of unconditional reflexes. Combination of simple low-level re ...
Cognitive Science And The Search For Intelligence
... the psychologists and linguists who work primarily from the top down. Their theories tend to be mentalistic and representational; their abstractions are beliefs, goals, rules, categories, and the like. Cognitive science can hardly afford to dismiss these everyday concepts, for they have explanatory ...
... the psychologists and linguists who work primarily from the top down. Their theories tend to be mentalistic and representational; their abstractions are beliefs, goals, rules, categories, and the like. Cognitive science can hardly afford to dismiss these everyday concepts, for they have explanatory ...
Computational Intelligence and Knowledge
... interesting problems can be represented and solved by machine. Theories are supported empirically by constructing implementations, part of whose quality is judged by traditional computer science principles. You can’t accomplish CI without specifying theories and building implementations; they are in ...
... interesting problems can be represented and solved by machine. Theories are supported empirically by constructing implementations, part of whose quality is judged by traditional computer science principles. You can’t accomplish CI without specifying theories and building implementations; they are in ...
"Computer Program Learns Language Rules and Composes
... The skill of chess-playing computers has long been a yardstick by which the progress of artificial intelligence is measured, and has developed in parallel with most hardware advances. IBM's Deep Blue chess computer trounced world champion Garry Kasparov eight years ago, but experts are still deliber ...
... The skill of chess-playing computers has long been a yardstick by which the progress of artificial intelligence is measured, and has developed in parallel with most hardware advances. IBM's Deep Blue chess computer trounced world champion Garry Kasparov eight years ago, but experts are still deliber ...
Neural Net Training for Tic-Tac-Toe
... learning over 96% of the rules while also developing strategy in parallel. To fix this problem I also implement the NNP with the ability to categorize tokens on the board. Instead of representing board positions by 1, -1, and 0, the Neural Net maintains its own values for tokens on the board to be f ...
... learning over 96% of the rules while also developing strategy in parallel. To fix this problem I also implement the NNP with the ability to categorize tokens on the board. Instead of representing board positions by 1, -1, and 0, the Neural Net maintains its own values for tokens on the board to be f ...
Full size
... knowledge from specific facts. On the last ten days that were sunny, we played tennis. Therefore, when it is sunny, we play tennis. Allows us to draw general conclusions from data. Most machine learning algorithms use induction. ...
... knowledge from specific facts. On the last ten days that were sunny, we played tennis. Therefore, when it is sunny, we play tennis. Allows us to draw general conclusions from data. Most machine learning algorithms use induction. ...
Using Neural Networks for Evaluation in Heuristic Search Algorithm
... A major difficulty in a search-based problem-solving process is the task of searching the potentially huge search space resulting from the exponential growth of states. State explosion rapidly occupies memory and increases computation time. Although various heuristic search algorithms have been devel ...
... A major difficulty in a search-based problem-solving process is the task of searching the potentially huge search space resulting from the exponential growth of states. State explosion rapidly occupies memory and increases computation time. Although various heuristic search algorithms have been devel ...
Metaheuristic Methods and Their Applications
... trapped in confined areas of the search space. • The basic concepts of metaheuristics permit an abstract level description. • Metaheuristics are not problem-specific. • Metaheuristics may make use of domain-specific knowledge in the form of heuristics that are controlled by the upper level strategy. ...
... trapped in confined areas of the search space. • The basic concepts of metaheuristics permit an abstract level description. • Metaheuristics are not problem-specific. • Metaheuristics may make use of domain-specific knowledge in the form of heuristics that are controlled by the upper level strategy. ...
Artificial Intelligence and Robotics
... time performing routine tasks without devoting time to thinking about how to do them. Occasionally we have to stop and plan the most efficient sequence in which to perform a set of errands, or a plan a route map, but that sort of activity is very much out of the ordinary. Some AT and cognitive scien ...
... time performing routine tasks without devoting time to thinking about how to do them. Occasionally we have to stop and plan the most efficient sequence in which to perform a set of errands, or a plan a route map, but that sort of activity is very much out of the ordinary. Some AT and cognitive scien ...
3. SOLVING PROBLEMS BY SEARCHING
... • Breadth-first search is optimal when all step costs are equal, because it always expands the shallowest unexpanded node • On the other hand, to this special case of uniform-cost search, we could also apply the greedy algorithm, which always expands the node with the lowest path cost • If the cost ...
... • Breadth-first search is optimal when all step costs are equal, because it always expands the shallowest unexpanded node • On the other hand, to this special case of uniform-cost search, we could also apply the greedy algorithm, which always expands the node with the lowest path cost • If the cost ...
An Abductive-Inductive Algorithm for Probabilistic
... observations. An adaptation of the Gibbs sampling algorithm [4] is used to learn the probability distribution over the categorical variables. Abduction has also been shown to be useful in inductive learning. The XHAIL approach [7] integrates abductive and inductive inference to compute solutions for ...
... observations. An adaptation of the Gibbs sampling algorithm [4] is used to learn the probability distribution over the categorical variables. Abduction has also been shown to be useful in inductive learning. The XHAIL approach [7] integrates abductive and inductive inference to compute solutions for ...
Artificial Intelligence
... It should be useful in many situations though it is incomplete or inaccurate. ...
... It should be useful in many situations though it is incomplete or inaccurate. ...
The Methodology of Expert Systems
... The software tools that are based on the technology and techniques of artificial intelligence greatly expand the range of practically important problems that can be solved by computers, and their solution brings significant economic benefits. First, there is a problem that requires combining differe ...
... The software tools that are based on the technology and techniques of artificial intelligence greatly expand the range of practically important problems that can be solved by computers, and their solution brings significant economic benefits. First, there is a problem that requires combining differe ...
A Computer Analysis of Boggle
... [1] J. A. Boyan. Learning Evaluation Functions for Global Optimization. PhD thesis, Carnegie Mellon University, 1998. [2] Thomas H. Cormen, Charles E. Leieserson, and Ronald L. Rivest. Introduction to Algorithms. MIT Press, 1992. [3] The Wordgame Programmers Egroup. Boggle - source code. http://www. ...
... [1] J. A. Boyan. Learning Evaluation Functions for Global Optimization. PhD thesis, Carnegie Mellon University, 1998. [2] Thomas H. Cormen, Charles E. Leieserson, and Ronald L. Rivest. Introduction to Algorithms. MIT Press, 1992. [3] The Wordgame Programmers Egroup. Boggle - source code. http://www. ...