Machine Intelligence and Robotics: Report of the NASA
... Relevant Technologies, and a third subsection, which is an Appendix on Relevant Technologies. (Don’t skip any of these subsections, especially the third, because if you look there, you will find detailed discussions of the conclusions and recommendations which the Group made on each specific machine ...
... Relevant Technologies, and a third subsection, which is an Appendix on Relevant Technologies. (Don’t skip any of these subsections, especially the third, because if you look there, you will find detailed discussions of the conclusions and recommendations which the Group made on each specific machine ...
PowerPoint Slides - Computer Science Department
... data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence ...
... data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence ...
A Belief-Desire-Intention Model for Narrative Generation
... model of character is likely intractable, so responses must be tailored to some degree. Psychological theories have provided insight into modelling character emotion (Theune et al. 2004; Sarlej and Ryan 2012), but the main focus of this paper is on motivation. Character models of motivation are freq ...
... model of character is likely intractable, so responses must be tailored to some degree. Psychological theories have provided insight into modelling character emotion (Theune et al. 2004; Sarlej and Ryan 2012), but the main focus of this paper is on motivation. Character models of motivation are freq ...
course-file-soft-computing
... It is rooted tree in which each internal node has two children. 71. What is knowledge acquisition? Acquisition of human operator’s knowledge about how to control a system and generates a set of fuzzy if-then rules as the backbone for a fuzzy controller that behaves like the original human operator. ...
... It is rooted tree in which each internal node has two children. 71. What is knowledge acquisition? Acquisition of human operator’s knowledge about how to control a system and generates a set of fuzzy if-then rules as the backbone for a fuzzy controller that behaves like the original human operator. ...
Principles of Information Systems, Ninth Edition
... data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence ...
... data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence ...
Finite-time Analysis of the Multiarmed Bandit Problem*
... that 0 < d < 1). Note also that this is a result stronger than those of Theorems 1 and 2, as it establishes a bound on the instantaneous regret. However, unlike Theorems 1 and 2, here we need to know a lower bound d on the difference between the reward expectations of the best and the second best ma ...
... that 0 < d < 1). Note also that this is a result stronger than those of Theorems 1 and 2, as it establishes a bound on the instantaneous regret. However, unlike Theorems 1 and 2, here we need to know a lower bound d on the difference between the reward expectations of the best and the second best ma ...
Automated Deduction Looking Ahead
... been some notable successes, of which I note two of the best here. One is the KIDS system by D. Smith (1990) at Kestrel Institute, which provides algorithmic schema such as divide-andconquer and other search algorithm schema within which a theorem prover operates. Success has been most dramatic in t ...
... been some notable successes, of which I note two of the best here. One is the KIDS system by D. Smith (1990) at Kestrel Institute, which provides algorithmic schema such as divide-andconquer and other search algorithm schema within which a theorem prover operates. Success has been most dramatic in t ...
Rational Artificial Intelligence for the Greater Good - Self
... Rational agents, as defined in economics, have well-defined goals and at each moment take the action which is most likely to bring about its goals. A rational chess robot might be given the goal of winning lots of chess games against good opponents. This might appear to be an innocuous goal that wou ...
... Rational agents, as defined in economics, have well-defined goals and at each moment take the action which is most likely to bring about its goals. A rational chess robot might be given the goal of winning lots of chess games against good opponents. This might appear to be an innocuous goal that wou ...
Master of Science (Computer Science)
... Technology but also for many schools around the Hashemite Kingdom of Jordan. One obvious solution to the problem of supplying the badly needed instructional staff is through a higher educational system that delivers the required expertise. In fact, the Dean’s Council in Jordan University of Science ...
... Technology but also for many schools around the Hashemite Kingdom of Jordan. One obvious solution to the problem of supplying the badly needed instructional staff is through a higher educational system that delivers the required expertise. In fact, the Dean’s Council in Jordan University of Science ...
The State of SAT - Cornell Computer Science
... Empirical evaluation of sat solvers on benchmark problems (such as those from [7]) has been a effective driving force for progress on both fundamental algorithms and theoretical understanding of the nature of satisfiability. The first two challenges were specific open SAT problems, one random and th ...
... Empirical evaluation of sat solvers on benchmark problems (such as those from [7]) has been a effective driving force for progress on both fundamental algorithms and theoretical understanding of the nature of satisfiability. The first two challenges were specific open SAT problems, one random and th ...
Programmability of Intelligent Agent Avatars (Extended Abstract)
... result in a set of intentions, more exactly, a set of intended actions. By acting, avatars would use their effectors to take the intended actions. In the current version of WASP soccer games, we do not require that agents would know all the laws of soccer games. The agents in the WASP soccer game us ...
... result in a set of intentions, more exactly, a set of intended actions. By acting, avatars would use their effectors to take the intended actions. In the current version of WASP soccer games, we do not require that agents would know all the laws of soccer games. The agents in the WASP soccer game us ...
Eleanor Dare - Department of Computing
... hypotheses – a model which is based on an exclusively rational idea of ‘man the scientist’. In many ways this is, (at least at first glance) a socially inclusive, democratic methodology, but it takes no account, writes Henriques, "of the ‘experimenter effect’”, nor does psychological practice to any ...
... hypotheses – a model which is based on an exclusively rational idea of ‘man the scientist’. In many ways this is, (at least at first glance) a socially inclusive, democratic methodology, but it takes no account, writes Henriques, "of the ‘experimenter effect’”, nor does psychological practice to any ...
Artificial Intelligence, Second Edition
... Once real computers were built, some of the first applications of computers were AI programs. For example, Samuel [1959] built a checkers program in 1952 and implemented a program that learns to play checkers in the late 1950s. Newell and Simon [1956] built a program, Logic Theorist, that discovers ...
... Once real computers were built, some of the first applications of computers were AI programs. For example, Samuel [1959] built a checkers program in 1952 and implemented a program that learns to play checkers in the late 1950s. Newell and Simon [1956] built a program, Logic Theorist, that discovers ...
Um Provador de Teoremas Multi-Estratégia A Multi
... CPL, mbC, and mCi and we would be able to obtain Backjumping versions of them by implementing a Backjumping Aspect that changes the behavior of these strategies. An obvious KEMS extension is to develop strategies for C1 , the simplest in da Costa’s Cn hierarchy of paraconsistent logics [27]. To achi ...
... CPL, mbC, and mCi and we would be able to obtain Backjumping versions of them by implementing a Backjumping Aspect that changes the behavior of these strategies. An obvious KEMS extension is to develop strategies for C1 , the simplest in da Costa’s Cn hierarchy of paraconsistent logics [27]. To achi ...
Paper Title - Natural Language Server, Jožef Stefan Institute
... sisteme prepoznavanja vzorcev, ki vključujejo tudi ontologije in tako do neke mere že omogočajo tudi računalniško sklepanje. ...
... sisteme prepoznavanja vzorcev, ki vključujejo tudi ontologije in tako do neke mere že omogočajo tudi računalniško sklepanje. ...
Discrete Event Calculus Deduction using First
... In this paper, we demonstrate the feasibility of using first-order logic automated theorem proving (ATP) systems [11] to solve event calculus reasoning problems. To our knowledge, this is the first time this has been done. We limit ourselves here to discrete time. Our long-term goal is to develop a ...
... In this paper, we demonstrate the feasibility of using first-order logic automated theorem proving (ATP) systems [11] to solve event calculus reasoning problems. To our knowledge, this is the first time this has been done. We limit ourselves here to discrete time. Our long-term goal is to develop a ...
Machine Intelligence
... basis of consciousness and the mental process by which we perceive, act, learn and remember..” from Principles of Neural Science by E. R. Kandel et al. E. R. Kandel won Nobel Price in 2000 for his work on physiological basis of memory storage in neurons. ...
... basis of consciousness and the mental process by which we perceive, act, learn and remember..” from Principles of Neural Science by E. R. Kandel et al. E. R. Kandel won Nobel Price in 2000 for his work on physiological basis of memory storage in neurons. ...
Problem Solving and Search
... To do this efficiently, agents must have the ability to reason with their knowledge about the world and the problem domain which path to follow (which action to choose from) next how to determine if a goal state is reached OR how decide if a satisfactory state has been reached. ...
... To do this efficiently, agents must have the ability to reason with their knowledge about the world and the problem domain which path to follow (which action to choose from) next how to determine if a goal state is reached OR how decide if a satisfactory state has been reached. ...
Artificial Intelligence in Computer Graphics
... power of graphics systems to grow at roughly the same rate as the hardware. Not so in artificial intelligence. Typically spanning from perception to action, AI systems necessarily touch on many capabilities of the mind that are not well understood. For a humanoid, those that are necessary to create ...
... power of graphics systems to grow at roughly the same rate as the hardware. Not so in artificial intelligence. Typically spanning from perception to action, AI systems necessarily touch on many capabilities of the mind that are not well understood. For a humanoid, those that are necessary to create ...
Application of intelligent control systems
... The most impressive feature of human intelligence is the ability to make correct decisions in conditions of incomplete and fuzzy information. Construction of the models that reflect human thinking and their use in computer systems today is one of the most important problems in science. Artificial in ...
... The most impressive feature of human intelligence is the ability to make correct decisions in conditions of incomplete and fuzzy information. Construction of the models that reflect human thinking and their use in computer systems today is one of the most important problems in science. Artificial in ...
A Bayesian network primer
... acyclic graphs (DAGs) instead of more general graphs to represent a probability distribution and optionally the causal structure of the domain. In an intuitive causal interpretation, the nodes represent the uncertain quantities, the edges denote direct causal influences, defining the model structure ...
... acyclic graphs (DAGs) instead of more general graphs to represent a probability distribution and optionally the causal structure of the domain. In an intuitive causal interpretation, the nodes represent the uncertain quantities, the edges denote direct causal influences, defining the model structure ...
Turing Test: 50 Years Later - Center for Research in Language
... "Can machines communicate in natural language in a manner indistinguishable from that of a human being?". This is manifested in the example conversation he gives in Turing (1950, p. 434), which contains questions about poetry, mathematics, and chess – topics that one would not typically ask about in ...
... "Can machines communicate in natural language in a manner indistinguishable from that of a human being?". This is manifested in the example conversation he gives in Turing (1950, p. 434), which contains questions about poetry, mathematics, and chess – topics that one would not typically ask about in ...
`aboutness` is - Kansas State University
... If they can, then the fact that functionalism predicts that they can counts in favor of the functionalist theory. If not, it counts as an objection to functionalism. The Turing test – if a machine passes the Turing test, we cannot tell that it isn't really thinking It is a further step to say ...
... If they can, then the fact that functionalism predicts that they can counts in favor of the functionalist theory. If not, it counts as an objection to functionalism. The Turing test – if a machine passes the Turing test, we cannot tell that it isn't really thinking It is a further step to say ...