A First Study of Fuzzy Cognitive Maps Learning Using Particle
... relationships amongst factors, characteristics, and components that constitute the system. An FCM consists of nodes–concepts, Ci , i = 1, . . . , N , where N is the total number of concepts. Each node–concept, represents one of the key–factors of the system, and it is characterized by a value Ai ∈ [ ...
... relationships amongst factors, characteristics, and components that constitute the system. An FCM consists of nodes–concepts, Ci , i = 1, . . . , N , where N is the total number of concepts. Each node–concept, represents one of the key–factors of the system, and it is characterized by a value Ai ∈ [ ...
Incremental Heuristic Search in AI
... incremental search algorithms have been suggested in the algorithms literature (Ausiello et al. 1991; Even and Gazit 1985; Even and Shiloach 1981; Feuerstein and Marchetti-Spaccamela 1993; Franciosa, Frigioni, and Giaccio 2001; Frigioni, Marchetti-Spaccamela, and Nanni 1996; Goto and Sangiovanni-Vin ...
... incremental search algorithms have been suggested in the algorithms literature (Ausiello et al. 1991; Even and Gazit 1985; Even and Shiloach 1981; Feuerstein and Marchetti-Spaccamela 1993; Franciosa, Frigioni, and Giaccio 2001; Frigioni, Marchetti-Spaccamela, and Nanni 1996; Goto and Sangiovanni-Vin ...
Preparation of Papers in Two-Column Format for
... Emotions entail different components, such as subjective experience, cognitive processes, expressive behavior, psychophysiological changes, and behavior. These various components of emotion are categorized in a different way depending on the academic discipline. In psychology and philosophy, emotion ...
... Emotions entail different components, such as subjective experience, cognitive processes, expressive behavior, psychophysiological changes, and behavior. These various components of emotion are categorized in a different way depending on the academic discipline. In psychology and philosophy, emotion ...
Issues in Temporal and Causal Inference
... is considered a “hypothesis” that differs from a “fact” in confidence. If at a later time C occurs again, then from it and the previous hypothesis the system derives U by deduction, with a time-stamp suggesting that it will occur soon. Since the hypothesis has a low confidence, the prediction on U i ...
... is considered a “hypothesis” that differs from a “fact” in confidence. If at a later time C occurs again, then from it and the previous hypothesis the system derives U by deduction, with a time-stamp suggesting that it will occur soon. Since the hypothesis has a low confidence, the prediction on U i ...
2015_0001_Vision for Curie and soccer
... In fact, if you compare this goal to other ground breaking achievements it is not ambitious at all. The Wright brothers' first airplane was launched and 50 years later man landed on the moon. Even more recently Deep Blue the computer programmed to play chess, played chess grand master Garry Kasparov ...
... In fact, if you compare this goal to other ground breaking achievements it is not ambitious at all. The Wright brothers' first airplane was launched and 50 years later man landed on the moon. Even more recently Deep Blue the computer programmed to play chess, played chess grand master Garry Kasparov ...
Week10-BUAD283-Chp04
... emphasizes sharing and flow of information A type of decision support system that facilitates the formulation of and solution to problems by a team A GDSS helps a team to generate ideas, identify strengths and weaknesses, choose an alternative, and reach a consensus ...
... emphasizes sharing and flow of information A type of decision support system that facilitates the formulation of and solution to problems by a team A GDSS helps a team to generate ideas, identify strengths and weaknesses, choose an alternative, and reach a consensus ...
Why Heideggerian AI Failed and how Fixing it would Require
... had been learned, Dennett offered one of the usual AI lame excuses for failure-- in this case, the lack of graduate students—and put the usual misleading positive spin on what had been accomplished: Cog never advanced beyond the toddler stage in any competence (and never got out of neonate in many o ...
... had been learned, Dennett offered one of the usual AI lame excuses for failure-- in this case, the lack of graduate students—and put the usual misleading positive spin on what had been accomplished: Cog never advanced beyond the toddler stage in any competence (and never got out of neonate in many o ...
Brookshear_10
... • Associative memory: The retrieval of information relevant to the information at hand • One direction of research seeks to build associative memory using neural networks that when given a partial pattern, transition themselves to a completed pattern. ...
... • Associative memory: The retrieval of information relevant to the information at hand • One direction of research seeks to build associative memory using neural networks that when given a partial pattern, transition themselves to a completed pattern. ...
An Integrated Toolkit for Modern Action Planning - PuK
... drawn against each activity indicating estimated duration. To access precise e.g. temporal information on the operators representatives can selected with the mouse. Our visualization module depicts the Gantt chart of plans in competition format. An example is provided in Figure 5. As the essence of ...
... drawn against each activity indicating estimated duration. To access precise e.g. temporal information on the operators representatives can selected with the mouse. Our visualization module depicts the Gantt chart of plans in competition format. An example is provided in Figure 5. As the essence of ...
Lecture I -- Introduction and Intelligent Agent
... Every art and every inquiry, and similarly every action and pursuit, is thought to aim at some good ...
... Every art and every inquiry, and similarly every action and pursuit, is thought to aim at some good ...
The Robots Must Be Crazy: DSM TURING TEST
... I'm very persuasive. I have a talent for getting other people to do what I want.! I'd be good in a dangerous job because I can make my mind up pretty quickly.! I find it easy to keep myself together in situations when others are cracking under pressure.! If you're able to con someone, that's their p ...
... I'm very persuasive. I have a talent for getting other people to do what I want.! I'd be good in a dangerous job because I can make my mind up pretty quickly.! I find it easy to keep myself together in situations when others are cracking under pressure.! If you're able to con someone, that's their p ...
View CV - Learning Research and Development Center (LRDC)
... UNIVERSITY OF PITTSBURGH, Pittsburgh, Pennsylvania. Courses: Artificial Intelligence and Law Seminar, Artificial Intelligence and Law Practicum, Intellectual Property, Cyberspace and Law, Computers and Law, Information Age Torts Seminar, Commercial Paper. Developed practicum entitled “Artificial Int ...
... UNIVERSITY OF PITTSBURGH, Pittsburgh, Pennsylvania. Courses: Artificial Intelligence and Law Seminar, Artificial Intelligence and Law Practicum, Intellectual Property, Cyberspace and Law, Computers and Law, Information Age Torts Seminar, Commercial Paper. Developed practicum entitled “Artificial Int ...
Computational Intelligence: Neural Networks and
... ANN [15]. First, it can perform more complex tasks than any of its components (i.e., individual ANNs in the ensemble). Second, it can make the overall system easier to understand and modify. Finally, it is more robust than a monolithic ANN, and can show graceful performance degradation in situations ...
... ANN [15]. First, it can perform more complex tasks than any of its components (i.e., individual ANNs in the ensemble). Second, it can make the overall system easier to understand and modify. Finally, it is more robust than a monolithic ANN, and can show graceful performance degradation in situations ...
Automatic Extraction of Efficient Axiom Sets from Large Knowledge
... inference is typically easier than inference with normal axioms. Therefore the function AllFacts(p), defined above, provides a good measure for identifying predicates which should be included. Our results below show that this heuristic can help us to get an efficient set of axioms. However, we can t ...
... inference is typically easier than inference with normal axioms. Therefore the function AllFacts(p), defined above, provides a good measure for identifying predicates which should be included. Our results below show that this heuristic can help us to get an efficient set of axioms. However, we can t ...
Full Text - MECS Publisher
... Knowledge Base System (KBS) is a co mputer program that contains some of the subject specific knowledge of one or more human experts. ES auto mates expert‘s tasks, which require specialized skills and train ing. Examples of these tasks include med ical diagnosis, equipment repair, co mputer configur ...
... Knowledge Base System (KBS) is a co mputer program that contains some of the subject specific knowledge of one or more human experts. ES auto mates expert‘s tasks, which require specialized skills and train ing. Examples of these tasks include med ical diagnosis, equipment repair, co mputer configur ...
The 2004 Mobile Robot Competition and Exhibition
... plagued the exhibitors, only three teams were able to participate in the event this year: The MU Mites from the University of Missouri at Columbia, the Stony Brook Robot Design Team from the State University of New York at Stony Brook, and a team from Washington University in St. Louis. The research ...
... plagued the exhibitors, only three teams were able to participate in the event this year: The MU Mites from the University of Missouri at Columbia, the Stony Brook Robot Design Team from the State University of New York at Stony Brook, and a team from Washington University in St. Louis. The research ...
PDF only
... tic inference has to be complete and exhaustive. In fact, decision theory can be used as a framework for rigorously and explicitly identifying the factors un ...
... tic inference has to be complete and exhaustive. In fact, decision theory can be used as a framework for rigorously and explicitly identifying the factors un ...
Applications of Expert Systems
... – Computer programs that automatically conduct tasks © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang ...
... – Computer programs that automatically conduct tasks © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang ...
Knowledge-Based Systems
... – Computer programs that automatically conduct tasks © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang ...
... – Computer programs that automatically conduct tasks © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang ...
Chapter 10 Intelligent Decision Support Systems
... – Computer programs that automatically conduct tasks © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang ...
... – Computer programs that automatically conduct tasks © 2005 Prentice Hall, Decision Support Systems and Intelligent Systems, 7th Edition, Turban, Aronson, and Liang ...
Here`s the beef: Answer Set Programming
... Usability At first, many people are impressed by the ease of modelling in ASP. However, once they attack the first more complex problem and draft their first buggy encoding, they become often lost in the flat of declarativity. The solving process is completely transparent. No handle is available for ...
... Usability At first, many people are impressed by the ease of modelling in ASP. However, once they attack the first more complex problem and draft their first buggy encoding, they become often lost in the flat of declarativity. The solving process is completely transparent. No handle is available for ...
Rise of the humans
... fast and inexpensive. Second machine age a term coined by Brynjolfsson and McAfee in their book of the same name. Essentially meaning the same as the Fourth Industrial Revolution but in this case the first Machine Age affected manual and physical tasks and the second machine age affects cognitive ta ...
... fast and inexpensive. Second machine age a term coined by Brynjolfsson and McAfee in their book of the same name. Essentially meaning the same as the Fourth Industrial Revolution but in this case the first Machine Age affected manual and physical tasks and the second machine age affects cognitive ta ...
Self-Motivating Computational System Cognitive Architecture
... Solving 'Strong' AI or AGI (Artificial General Intelligence) is the most important (or at least the hardest) Computer Science problem in the history of computing beyond getting computers working to begin with. That being the case though, it is only incidental to the discussion here. The problem is t ...
... Solving 'Strong' AI or AGI (Artificial General Intelligence) is the most important (or at least the hardest) Computer Science problem in the history of computing beyond getting computers working to begin with. That being the case though, it is only incidental to the discussion here. The problem is t ...
Call for Participation - Association for the Advancement of Artificial
... systems, and other techniques function in a diverse, often ill-structured environment and what, if any, organizational constraints must exist to be able to successfully manage knowledge. Issues involved with adding context and other meta-data along with using ontologies to promote the sharing of rel ...
... systems, and other techniques function in a diverse, often ill-structured environment and what, if any, organizational constraints must exist to be able to successfully manage knowledge. Issues involved with adding context and other meta-data along with using ontologies to promote the sharing of rel ...