Tilburg University Toward Human-Level Artificial Intelligence
... and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. - Users may download and print one copy of any publication from the public portal for the purpose of private study or research - You may not further distribute the m ...
... and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. - Users may download and print one copy of any publication from the public portal for the purpose of private study or research - You may not further distribute the m ...
Ubiquitous System Challenges and Outlook
... http://www.eecs.qmul.ac.uk/people/stefan/ubicom Ubiquitous computing: smart devices, environments and interaction ...
... http://www.eecs.qmul.ac.uk/people/stefan/ubicom Ubiquitous computing: smart devices, environments and interaction ...
CV - Information Sciences Institute
... Association for Computing Machinery (ACM SIGAI), 2010-2013 and 2013-2016. ACM SIGAI has more than one thousand members. It sponsors major conferences such as Autonomous Agents and Multiagent Systems (and gives the prestigious ACM/SIGAI Autonomous Agents Research Award), Intelligent User Interfaces, ...
... Association for Computing Machinery (ACM SIGAI), 2010-2013 and 2013-2016. ACM SIGAI has more than one thousand members. It sponsors major conferences such as Autonomous Agents and Multiagent Systems (and gives the prestigious ACM/SIGAI Autonomous Agents Research Award), Intelligent User Interfaces, ...
Dialectic proof procedures for assumption
... In conventional logic, beliefs are derived from axioms, which are held to be beyond dispute. In everyday argumentation, however, beliefs are based on assumptions, which can be questioned and disputed. Starting perhaps with Toulmin’s landmark book, The Uses of Argument [37], this contrast between con ...
... In conventional logic, beliefs are derived from axioms, which are held to be beyond dispute. In everyday argumentation, however, beliefs are based on assumptions, which can be questioned and disputed. Starting perhaps with Toulmin’s landmark book, The Uses of Argument [37], this contrast between con ...
Intelligence by Design: Principles of Modularity and Coordination for
... All intelligence relies on search — for example, the search for an intelligent agent’s next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dis ...
... All intelligence relies on search — for example, the search for an intelligent agent’s next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dis ...
AAAI Chapter Guidelines
... as any other intellectual property that AAAI has approved for its use. Before an immediate termination action is taken, AAAI will contact the local chapter with its concerns and intentions. An opportunity will be provided to the local chapter to respond. A former chapter that wishes to be reinstated ...
... as any other intellectual property that AAAI has approved for its use. Before an immediate termination action is taken, AAAI will contact the local chapter with its concerns and intentions. An opportunity will be provided to the local chapter to respond. A former chapter that wishes to be reinstated ...
Intelligence by Design - Department of Computer Science
... All intelligence relies on search — for example, the search for an intelligent agent’s next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dis ...
... All intelligence relies on search — for example, the search for an intelligent agent’s next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dis ...
An efficient oscillating inertia weight of particle swarm optimisation
... means that the peaks are shifted in completely random directions and l ¼ 1 means that the peaks always follow the same direction, until they hit the boundaries where they bounce off. The environmental parameters used in the experiments of this article are set according to the values listed in Table ...
... means that the peaks are shifted in completely random directions and l ¼ 1 means that the peaks always follow the same direction, until they hit the boundaries where they bounce off. The environmental parameters used in the experiments of this article are set according to the values listed in Table ...
SETI Aff UM 7wk - Open Evidence Archive
... estimated that the Drake Equation amounted to N = 1 million. Scientist and science fiction writer Isaac Asimov calculated 670,000. Drake himself estimates a more conservative 10,000. But even if that lower value turns out to be correct, at the rate they're going, it wouldn't take scientists too long ...
... estimated that the Drake Equation amounted to N = 1 million. Scientist and science fiction writer Isaac Asimov calculated 670,000. Drake himself estimates a more conservative 10,000. But even if that lower value turns out to be correct, at the rate they're going, it wouldn't take scientists too long ...
Survey on Fuzzy Expert System
... work as meta knowledge. At last on the basis of reason with knowledge about themselves and have their own limits and capabilities of knowledge, they give their advice to end user. ...
... work as meta knowledge. At last on the basis of reason with knowledge about themselves and have their own limits and capabilities of knowledge, they give their advice to end user. ...
Thinking Machines
... I Computer scientist, mathematician, logician, cryptanalyst, philosopher, mathematical biologist, and marathon and ultra distance runner. I His work shortened the WW-II by as many as two to four years I Turing was prosecuted in 1952 for homosexual acts I Died of cyanide poisoning ...
... I Computer scientist, mathematician, logician, cryptanalyst, philosopher, mathematical biologist, and marathon and ultra distance runner. I His work shortened the WW-II by as many as two to four years I Turing was prosecuted in 1952 for homosexual acts I Died of cyanide poisoning ...
Multiagent Systems: A Survey from a Machine Learning Perspective
... approach, there are some situations for which it is particularly appropriate, and others for which it is not. The goal of this section is to underscore the need for and usefulness of MAS while giving characteristics of typical domains that can benefit from it. For a more extensive discussion, see [B ...
... approach, there are some situations for which it is particularly appropriate, and others for which it is not. The goal of this section is to underscore the need for and usefulness of MAS while giving characteristics of typical domains that can benefit from it. For a more extensive discussion, see [B ...
presentation
... We observe a complex path of the ant Does this mean that the internal mechanisms are complex as well? No, path results from the interaction between the ant and the beach Internal mechanisms are simple ...
... We observe a complex path of the ant Does this mean that the internal mechanisms are complex as well? No, path results from the interaction between the ant and the beach Internal mechanisms are simple ...
Artificial Intelligence
... us to cope with the virtually infinite variety of utterances using a finite store of commonsense knowledge. Problem-solving agents have difficulty with this kind of ambiguity because their representation of contingency problems is inherently exponential. Our final reason for studying knowledge-based ...
... us to cope with the virtually infinite variety of utterances using a finite store of commonsense knowledge. Problem-solving agents have difficulty with this kind of ambiguity because their representation of contingency problems is inherently exponential. Our final reason for studying knowledge-based ...
Publication : An introduction to Soar as an agent architecture
... applications have been only rarely reused in subsequent applications. Exceptional cases include Soar-Teamwork (STEAM), an implementation of the theory of teamwork as joint intentions (Tambe, 1997) and a Soar-based model of natural language, NL-Soar (Lehman et al., 1998). NL-Soar has been used as a c ...
... applications have been only rarely reused in subsequent applications. Exceptional cases include Soar-Teamwork (STEAM), an implementation of the theory of teamwork as joint intentions (Tambe, 1997) and a Soar-based model of natural language, NL-Soar (Lehman et al., 1998). NL-Soar has been used as a c ...
Computational Approaches to Preference Elicitation
... This is a survey of preference (or utility) elicitation from a computer scientist’s perspective. Preference elicitation is viewed as a process of extracting information about user preferences to the extent necessary to make good or even optimal decisions. Devising effective elicitation strategies wo ...
... This is a survey of preference (or utility) elicitation from a computer scientist’s perspective. Preference elicitation is viewed as a process of extracting information about user preferences to the extent necessary to make good or even optimal decisions. Devising effective elicitation strategies wo ...
CptS 440 / 540 Artificial Intelligence
... – The individual is just part of the overall system, which does understand Chinese ...
... – The individual is just part of the overall system, which does understand Chinese ...
Dynamic problem structure analysis as a basis for constraint
... J. Christopher Beck a,∗ , Mark S. Fox b,1 a ILOG, S.A. 9, rue de Verdun, BP 85 F-94253, Gentilly Cedex, France b Department of Mechanical and Industrial Engineering, University of Toronto, ...
... J. Christopher Beck a,∗ , Mark S. Fox b,1 a ILOG, S.A. 9, rue de Verdun, BP 85 F-94253, Gentilly Cedex, France b Department of Mechanical and Industrial Engineering, University of Toronto, ...
CS 561a: Introduction to Artificial Intelligence
... Thinking Rationally: Laws of Thought • Aristotle (~ 450 B.C.) attempted to codify “right thinking” What are correct arguments/thought processes? • E.g., “Socrates is a man, all men are mortal; therefore Socrates is mortal” • Several Greek schools developed various forms of logic: notation plus rule ...
... Thinking Rationally: Laws of Thought • Aristotle (~ 450 B.C.) attempted to codify “right thinking” What are correct arguments/thought processes? • E.g., “Socrates is a man, all men are mortal; therefore Socrates is mortal” • Several Greek schools developed various forms of logic: notation plus rule ...
Pardis, a Fuzzy Extension to Multi agent Simulation Systems
... data from the environment, and in turn performs some actions that affect the environment. These are what practically any person could do, with the difference that a professional soccer player’s senses are sharper, and actions more skilled than an ordinary person, at least in those areas that are nee ...
... data from the environment, and in turn performs some actions that affect the environment. These are what practically any person could do, with the difference that a professional soccer player’s senses are sharper, and actions more skilled than an ordinary person, at least in those areas that are nee ...
Heuristics - UCLA Cognitive Systems Laboratory
... trial begins with an “agent” at the start state sinit . The agent takes a sequence of actions where each action is selected greedily based on the current state evaluation function. The trial ends when the agent reaches a goal state. The algorithms are called “real-time” because they perform a limite ...
... trial begins with an “agent” at the start state sinit . The agent takes a sequence of actions where each action is selected greedily based on the current state evaluation function. The trial ends when the agent reaches a goal state. The algorithms are called “real-time” because they perform a limite ...
Part I: Heuristics
... trial begins with an “agent” at the start state sinit . The agent takes a sequence of actions where each action is selected greedily based on the current state evaluation function. The trial ends when the agent reaches a goal state. The algorithms are called “real-time” because they perform a limite ...
... trial begins with an “agent” at the start state sinit . The agent takes a sequence of actions where each action is selected greedily based on the current state evaluation function. The trial ends when the agent reaches a goal state. The algorithms are called “real-time” because they perform a limite ...
AI Methods in Algorithmic Composition
... The purpose of this survey is to review and bring together existing research on a specific style of Computational Creativity: algorithmic composition. Interpreted literally, algorithmic composition is a self-explanatory term: the use of algorithms to compose music. This is a very broad definition, b ...
... The purpose of this survey is to review and bring together existing research on a specific style of Computational Creativity: algorithmic composition. Interpreted literally, algorithmic composition is a self-explanatory term: the use of algorithms to compose music. This is a very broad definition, b ...