Document
... PossWin(X) then {block H} Go (PossWin(X)) else Go (Make_2) Move 5: {By now computer has played 2 chances} If PossWin(X) then {won} Go(PossWin(X)) else {block H} if PossWin(O) then Go(PossWin(O)) else if B[7] is blank then Go(7) else Go(3) Move 6: {By now both have played 2 chances} If PossWin(O) the ...
... PossWin(X) then {block H} Go (PossWin(X)) else Go (Make_2) Move 5: {By now computer has played 2 chances} If PossWin(X) then {won} Go(PossWin(X)) else {block H} if PossWin(O) then Go(PossWin(O)) else if B[7] is blank then Go(7) else Go(3) Move 6: {By now both have played 2 chances} If PossWin(O) the ...
AI for Games - Artificial Intelegence
... estimate winning or losing from top portion – Evaluate() function to guess end given board – A numeric value, much smaller than victory (ie- Checkmate for Max will be one million, for Min minus one million) So, computer’s strength at chess comes from: – How deep can search – How well can evaluate a ...
... estimate winning or losing from top portion – Evaluate() function to guess end given board – A numeric value, much smaller than victory (ie- Checkmate for Max will be one million, for Min minus one million) So, computer’s strength at chess comes from: – How deep can search – How well can evaluate a ...
AI for Games
... estimate winning or losing from top portion – Evaluate() function to guess end given board – A numeric value, much smaller than victory (ie- Checkmate for Max will be one million, for Min minus one million) So, computer’s strength at chess comes from: – How deep can search – How well can evaluate a ...
... estimate winning or losing from top portion – Evaluate() function to guess end given board – A numeric value, much smaller than victory (ie- Checkmate for Max will be one million, for Min minus one million) So, computer’s strength at chess comes from: – How deep can search – How well can evaluate a ...
my_paper
... developed AI. The goal for this test was to establish a computer that would never lose and take any open wins. In order to perform this test, I used the same brain as described above, a message processing unit, and a tic-tac-toe game that had an unbeatable AI (so the computer could play itself). Res ...
... developed AI. The goal for this test was to establish a computer that would never lose and take any open wins. In order to perform this test, I used the same brain as described above, a message processing unit, and a tic-tac-toe game that had an unbeatable AI (so the computer could play itself). Res ...
evolutionary computation
... solving" remains valid as—in its most abstract and general form—it is encountered in virtually any AI system. For instance, adaptability can be conceived as convergence to goal-states, while "behaviors" can be viewed as states within a search space. Due to the critical role of "problem solving" in v ...
... solving" remains valid as—in its most abstract and general form—it is encountered in virtually any AI system. For instance, adaptability can be conceived as convergence to goal-states, while "behaviors" can be viewed as states within a search space. Due to the critical role of "problem solving" in v ...
N-Grams and the Last-Good-Reply Policy applied in General Game
... programs have in common that they depend heavily on elaborate game-dependent knowledge, typically provided by their developers. Furthermore, many of the techniques employed in these programs are highly specialized and fine tuned for the particular game at hand. In General Game Playing (GGP), on the ...
... programs have in common that they depend heavily on elaborate game-dependent knowledge, typically provided by their developers. Furthermore, many of the techniques employed in these programs are highly specialized and fine tuned for the particular game at hand. In General Game Playing (GGP), on the ...
Computer Science as Empirical Inquiry: Symbols and Search
... systems. This is computer sciences's most basic law of qualitative structure. The symbol system hypothesis implies that the symbolic behavior of man arises because he has the characteristics of a physical symbol system. Hence, the results of efforts to model human behavior with symbol systems become ...
... systems. This is computer sciences's most basic law of qualitative structure. The symbol system hypothesis implies that the symbolic behavior of man arises because he has the characteristics of a physical symbol system. Hence, the results of efforts to model human behavior with symbol systems become ...
Course Evaluation - East Stroudsburg University
... 4. Please rate your employer’s performance in your internship experience. Employer’s Responsibility Appropriate level of skills expected of you (as a new employee). Appropriate work assigned to you, given the goals of the internship. Supervision and guidance given during your internship activities. ...
... 4. Please rate your employer’s performance in your internship experience. Employer’s Responsibility Appropriate level of skills expected of you (as a new employee). Appropriate work assigned to you, given the goals of the internship. Supervision and guidance given during your internship activities. ...
Intelligent automation entering the business world
... technologies are increasingly available as open source or low-cost products or cloud-based services. However, for the most part they can only replace humans in tasks peripheral to the core processing platform. For back-office operation, banks and insurance companies have very few options; they can o ...
... technologies are increasingly available as open source or low-cost products or cloud-based services. However, for the most part they can only replace humans in tasks peripheral to the core processing platform. For back-office operation, banks and insurance companies have very few options; they can o ...
CE213 Artificial Intelligence – Revision
... Evaluation functions (most difficult part): Heuristic on states (game positions) Permit adversarial search in large state spaces alpha-beta pruning (efficiency is essential for a huge search tree): Reduces effort required to search to given depth Monte-Carlo tree search – basic ideas: Evaluation by ...
... Evaluation functions (most difficult part): Heuristic on states (game positions) Permit adversarial search in large state spaces alpha-beta pruning (efficiency is essential for a huge search tree): Reduces effort required to search to given depth Monte-Carlo tree search – basic ideas: Evaluation by ...
Master of Science DEGREE IN COMPUTER SCIENCE
... The Department of Computer Science at Lamar University offers a Master of Science degree in Computer Science. It is an excellent program for those who have a background in Computer Science, but it is designed so that those without such a background can still complete the requirements for the degree ...
... The Department of Computer Science at Lamar University offers a Master of Science degree in Computer Science. It is an excellent program for those who have a background in Computer Science, but it is designed so that those without such a background can still complete the requirements for the degree ...
Interactive Computer Games - Artificial Intelligence Lab
... both robotics in the real world and home-grown simulations. By working in simulation, researchers interested in human-level AI can concentrate on cognitive capabilities and finesse many of the pesky issues of using real sensor and real motor systems - they must still include some sensor modeling to ...
... both robotics in the real world and home-grown simulations. By working in simulation, researchers interested in human-level AI can concentrate on cognitive capabilities and finesse many of the pesky issues of using real sensor and real motor systems - they must still include some sensor modeling to ...
Human-Level AI`s Killer Application: Interactive Computer Games
... agents don’t necessarily have to be human level in their intelligence, as long as they have a façade of intelligence supported by great personality. Joe Bates’s (1992) OZ research group at Carnegie Mellon University and Barbara HayesRoth’s group at Stanford University (HayesRoth and Doyle 1998) have ...
... agents don’t necessarily have to be human level in their intelligence, as long as they have a façade of intelligence supported by great personality. Joe Bates’s (1992) OZ research group at Carnegie Mellon University and Barbara HayesRoth’s group at Stanford University (HayesRoth and Doyle 1998) have ...
TRANSFER LEARNING AND CHESS
... 1. AI CHESS – A BRIEF HISTORY Chess has always been at the forefront of research considering artificial intelligence. Obviously playing chess is an activity that requires cognitive skill. So when Rationalism and the Age of Enlightenment were eminent and inventors and scientists were building all kin ...
... 1. AI CHESS – A BRIEF HISTORY Chess has always been at the forefront of research considering artificial intelligence. Obviously playing chess is an activity that requires cognitive skill. So when Rationalism and the Age of Enlightenment were eminent and inventors and scientists were building all kin ...
Minds may be computers but.. - Cognitive Science Department
... be made. One of my reasons for suspecting that this might be the case is (somewhat paradoxically) one of AI’s most notable successes – the programs it has developed for playing chess at a world championship level. It was once widely believed that, if we could program a computer to play excellent che ...
... be made. One of my reasons for suspecting that this might be the case is (somewhat paradoxically) one of AI’s most notable successes – the programs it has developed for playing chess at a world championship level. It was once widely believed that, if we could program a computer to play excellent che ...
Expert Systems - Watford Grammar School for Boys Intranet
... Expert Systems - Definition Created from research into Artificial Intelligence – AI Also known as knowledge based systems. Based on Facts & Rules. A system that attempts to replicate a human expert in solving specific problems or making decisions ...
... Expert Systems - Definition Created from research into Artificial Intelligence – AI Also known as knowledge based systems. Based on Facts & Rules. A system that attempts to replicate a human expert in solving specific problems or making decisions ...
Mazda Ahmadi
... • World Champion in RoboCup-Rescue Simulation league in Padova, Italy, July 2003. (My role in the team: coordinator and research consultant) • World Champion in RoboCup-Rescue Simulation league in Fukuoka, Japan, June 2002. (My role in the team: coordinator and software designer) • 2nd place in Robo ...
... • World Champion in RoboCup-Rescue Simulation league in Padova, Italy, July 2003. (My role in the team: coordinator and research consultant) • World Champion in RoboCup-Rescue Simulation league in Fukuoka, Japan, June 2002. (My role in the team: coordinator and software designer) • 2nd place in Robo ...
Memory and Concepts in Reactive Learning
... Hoyle outperforms these programs because it explicitly represents and exploits its concepts. Hoyle’s concepts organize the way it remembers experience, focus its attention on what is important to learn, force it to apply its experience, and permit it to discard experience that is judged unlikely to ...
... Hoyle outperforms these programs because it explicitly represents and exploits its concepts. Hoyle’s concepts organize the way it remembers experience, focus its attention on what is important to learn, force it to apply its experience, and permit it to discard experience that is judged unlikely to ...
ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
... 1. Interview an information system manager. Determine the extent to which the company is using AI based technologies. Also, ask what the company plans for the next three-five years. Are there any problems? (List and discuss.) Prepare a two-page report on your visit. Open-ended answer. 2. Explore the ...
... 1. Interview an information system manager. Determine the extent to which the company is using AI based technologies. Also, ask what the company plans for the next three-five years. Are there any problems? (List and discuss.) Prepare a two-page report on your visit. Open-ended answer. 2. Explore the ...
A (Very) Brief History of Artificial Intelligence
... and has, in turn, occasionally influenced them. Only in the last half century have we had computational devices and programming languages powerful enough to build experimental tests of ideas about what intelligence is. Turing’s 1950 seminal paper in the philosophy journal Mind is a major turning poi ...
... and has, in turn, occasionally influenced them. Only in the last half century have we had computational devices and programming languages powerful enough to build experimental tests of ideas about what intelligence is. Turing’s 1950 seminal paper in the philosophy journal Mind is a major turning poi ...
Lecture 01 Part A – Introduction to AI
... • Credit card providers, banks, mortgage companies use AI systems to detect fraud and expedite financial transactions. Configuring Hardware and Software • AI systems configure custom computer, communications, and manufacturing systems, guaranteeing the purchaser maximum efficiency and minimum ...
... • Credit card providers, banks, mortgage companies use AI systems to detect fraud and expedite financial transactions. Configuring Hardware and Software • AI systems configure custom computer, communications, and manufacturing systems, guaranteeing the purchaser maximum efficiency and minimum ...
Slides
... 1. The Aim of AI research After much philosophical and psychological debate over many centuries, moreover, there's no agreed definition of 'intelligence'. In 1994 a group of 52 academics involved in intelligence-related research published a statement on what they considered it to be, and it is quot ...
... 1. The Aim of AI research After much philosophical and psychological debate over many centuries, moreover, there's no agreed definition of 'intelligence'. In 1994 a group of 52 academics involved in intelligence-related research published a statement on what they considered it to be, and it is quot ...
Notes 1: Introduction to Artificial Intelligence
... – supercomputer: hundreds of CPUs, 10 9 bits of RAM – cycle times: order of 10 - 8 seconds ...
... – supercomputer: hundreds of CPUs, 10 9 bits of RAM – cycle times: order of 10 - 8 seconds ...
Artificial Intelligence
... symbol hypothesis of Newell and Simon (1981). • Essentially this hypothesis considers that knowledge consists of symbols of reality and relationships between these symbols and that intelligence is the appropriate logical manipulation of the symbols and their relations. • Although Newell an Simon dev ...
... symbol hypothesis of Newell and Simon (1981). • Essentially this hypothesis considers that knowledge consists of symbols of reality and relationships between these symbols and that intelligence is the appropriate logical manipulation of the symbols and their relations. • Although Newell an Simon dev ...
1992-Artificial Intelligence and Molecular Biology
... sequences that we do not yet recognize. This general problem is termed “gene recognition” and there are many approaches to it, including rule- and pattern-based ones, statistical methods and neural networks. There are several widely used programs which have strong AI roots. One of these systems, GRA ...
... sequences that we do not yet recognize. This general problem is termed “gene recognition” and there are many approaches to it, including rule- and pattern-based ones, statistical methods and neural networks. There are several widely used programs which have strong AI roots. One of these systems, GRA ...