Dynamic problem structure analysis as a basis for constraint
... • adding a new resource to the problem. It may be that part of the scheduling problem is to determine (and perhaps minimize) the number of resources used. Such a problem arises in transportation applications where it is desired to use as few trucks as possible to meet the shipment requirements. A re ...
... • adding a new resource to the problem. It may be that part of the scheduling problem is to determine (and perhaps minimize) the number of resources used. Such a problem arises in transportation applications where it is desired to use as few trucks as possible to meet the shipment requirements. A re ...
AI Methods in Algorithmic Composition
... no human intervention, instead of languages or tools whose primary aim is to aid human composers in their own creative processes. Obviously, the divide between both ends of the spectrum of automation (CAAC representing a low degree of automation, algorithmic composition a high degree of automation) ...
... no human intervention, instead of languages or tools whose primary aim is to aid human composers in their own creative processes. Obviously, the divide between both ends of the spectrum of automation (CAAC representing a low degree of automation, algorithmic composition a high degree of automation) ...
Survey on Fuzzy Expert System
... there is interface engine, whose power is lies on knowledge base and also has the capability to learn. After, analysis put it into case history file or in a working memory so it is work as meta knowledge. At last on the basis of reason with knowledge about themselves and have their own limits and ca ...
... there is interface engine, whose power is lies on knowledge base and also has the capability to learn. After, analysis put it into case history file or in a working memory so it is work as meta knowledge. At last on the basis of reason with knowledge about themselves and have their own limits and ca ...
Viewpoints
... Basic-Efforts. These efforts are transformed through a 2D line representation into an Lsystem model. The L-system generates a set of lines that are then colored drawing from Kandinsky’s theory of colors. Viewpoints AI also employs both processing of human motion and a procedural visualization, altho ...
... Basic-Efforts. These efforts are transformed through a 2D line representation into an Lsystem model. The L-system generates a set of lines that are then colored drawing from Kandinsky’s theory of colors. Viewpoints AI also employs both processing of human motion and a procedural visualization, altho ...
Viewpoints AI
... Basic-Efforts. These efforts are transformed through a 2D line representation into an Lsystem model. The L-system generates a set of lines that are then colored drawing from Kandinsky’s theory of colors. Viewpoints AI also employs both processing of human motion and a procedural visualization, altho ...
... Basic-Efforts. These efforts are transformed through a 2D line representation into an Lsystem model. The L-system generates a set of lines that are then colored drawing from Kandinsky’s theory of colors. Viewpoints AI also employs both processing of human motion and a procedural visualization, altho ...
A Classification and Survey of Preference Handling Approaches in
... the “underlying system” is that it is easier to compare approaches that use the same base system. As well, a specific approach to preference may be “ported” from one underlying system to another, as for example is done in the methods of Delgrande and Schaub [2000a; 2003] and Brewka and Eiter [1999; ...
... the “underlying system” is that it is easier to compare approaches that use the same base system. As well, a specific approach to preference may be “ported” from one underlying system to another, as for example is done in the methods of Delgrande and Schaub [2000a; 2003] and Brewka and Eiter [1999; ...
What is a heuristic? - University of Alberta
... Newell et al. (Feigenbaum and Feldman 1963, p. 114; see also Newell 1980, p. 17) were the first to use heurisric as a noun meaning heuristic process. They claim to be using heuristic here according to the standard dictionary definition, “serving to discover or find out,” but they also oppose its mea ...
... Newell et al. (Feigenbaum and Feldman 1963, p. 114; see also Newell 1980, p. 17) were the first to use heurisric as a noun meaning heuristic process. They claim to be using heuristic here according to the standard dictionary definition, “serving to discover or find out,” but they also oppose its mea ...
... Newell et al. (Feigenbaum and Feldman 1963, p. 114; see also Newell 1980, p. 17) were the first to use heurisric as a noun meaning heuristic process. They claim to be using heuristic here according to the standard dictionary definition, “serving to discover or find out,” but they also oppose its mea ...
Humour - CSE, IIT Bombay
... effect of humour humour. For humourof – nervous a ‘twist’. energy • Release •• Humour arises fromand showing Mixture of pleasure pain something from at the baseabsurd of amusement something that is not. • Based on contradiction of some sort. ...
... effect of humour humour. For humourof – nervous a ‘twist’. energy • Release •• Humour arises fromand showing Mixture of pleasure pain something from at the baseabsurd of amusement something that is not. • Based on contradiction of some sort. ...
Tilburg University Toward Human-Level Artificial Intelligence
... Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. - Users may download a ...
... Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. - Users may download a ...
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 ...
Logic Program Based Updates
... most important issues in nonmonotonic system changes. We show how restricted monotonicity properties can be used to simplify the evaluation procedure in a simple fact update. Section 5 addresses the problem of program updates and propose an approach which integrates both semantic and syntactic consi ...
... most important issues in nonmonotonic system changes. We show how restricted monotonicity properties can be used to simplify the evaluation procedure in a simple fact update. Section 5 addresses the problem of program updates and propose an approach which integrates both semantic and syntactic consi ...
Resources on Existential Risk
... Anders Sandberg and Nick Bostrom (2008), "Whole brain emulation: A roadmap."....................... 110 Daniel Dewey (2014), "Long‐term strategies for ending existential risk from fast takeoff." ........... 110 Nick Bostrom (2014), Superintelligence. ............................................... ...
... Anders Sandberg and Nick Bostrom (2008), "Whole brain emulation: A roadmap."....................... 110 Daniel Dewey (2014), "Long‐term strategies for ending existential risk from fast takeoff." ........... 110 Nick Bostrom (2014), Superintelligence. ............................................... ...
Wrappers for feature subset selection
... set of training instances, where each instance is described by a vector of feature (or attribute) values and a class label. For example, in medical diagnosis problems the features might include the age, weight, and blood pressure of a patient, and the class label might indicate whether or not a phys ...
... set of training instances, where each instance is described by a vector of feature (or attribute) values and a class label. For example, in medical diagnosis problems the features might include the age, weight, and blood pressure of a patient, and the class label might indicate whether or not a phys ...
Nonmonotonic Reasoning
... lied in dissatisfaction with the traditional logical methods in representing and handling the problems posed by AI. Basically, the problem was that reasoning necessary for an intelligent behavior and decision making in realistic situations has turned out to be difficult, even impossible, to represen ...
... lied in dissatisfaction with the traditional logical methods in representing and handling the problems posed by AI. Basically, the problem was that reasoning necessary for an intelligent behavior and decision making in realistic situations has turned out to be difficult, even impossible, to represen ...
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 ...
AAAI News - Association for the Advancement of Artificial Intelligence
... Arbor, Michigan, USA, June 1-4, 2014. This unique forum brings together researchers working at the nexus of computer science and the social sciences, with work drawing upon network science, machine learning, computational linguistics, sociology and communication. The broad goal of ICWSM is to increa ...
... Arbor, Michigan, USA, June 1-4, 2014. This unique forum brings together researchers working at the nexus of computer science and the social sciences, with work drawing upon network science, machine learning, computational linguistics, sociology and communication. The broad goal of ICWSM is to increa ...
CV - Computer Science Intranet
... • Argument-based interactions between intelligent agents, Washington University in St Louis, April 2004. • Coevolutionary mechanism design, Columbia University, December 2002. • Argumentation and decision making, University of Kansas, November 2002. • On formal models of inter-agent dialogues, Harva ...
... • Argument-based interactions between intelligent agents, Washington University in St Louis, April 2004. • Coevolutionary mechanism design, Columbia University, December 2002. • Argumentation and decision making, University of Kansas, November 2002. • On formal models of inter-agent dialogues, Harva ...
Computing Preferred Answer Sets by Meta
... (2000), and Delgrande, Schaub and Tompits (2000a), which we refer to as B-preferred, W-preferred, and D-preferred answer set semantics, respectively. We present ASP metaprograms PIB , PIW , and PID such that the answer sets of PIB ∪ F (P), PIW ∪ F (P), and PID ∪ F (P) correspond (modulo a simple pro ...
... (2000), and Delgrande, Schaub and Tompits (2000a), which we refer to as B-preferred, W-preferred, and D-preferred answer set semantics, respectively. We present ASP metaprograms PIB , PIW , and PID such that the answer sets of PIB ∪ F (P), PIW ∪ F (P), and PID ∪ F (P) correspond (modulo a simple pro ...
presentation
... We have an impression of a full representation of the scene, because we can access the information if needed ...
... We have an impression of a full representation of the scene, because we can access the information if needed ...
Chap1&2
... • Loebner prize competition is modern version of Turing Test (The Loebner Prize is an annual competition in artificial intelligence that awards prizes to the chatterbot considered by the judges to be the most human-like.) – Example: Alice, Loebner prize winner for 2000 and 2001 ...
... • Loebner prize competition is modern version of Turing Test (The Loebner Prize is an annual competition in artificial intelligence that awards prizes to the chatterbot considered by the judges to be the most human-like.) – Example: Alice, Loebner prize winner for 2000 and 2001 ...
Special Issue on Semantic Web Meets
... What does one do with so much data? A few years ago there was the issue of data storage. Some of the hottest companies of the time dealt with developing technologies for fast data storage/access. Nowadays, data storage has become extremely cheap. According to Kevin Kelly of Wired magazine, for less ...
... What does one do with so much data? A few years ago there was the issue of data storage. Some of the hottest companies of the time dealt with developing technologies for fast data storage/access. Nowadays, data storage has become extremely cheap. According to Kevin Kelly of Wired magazine, for less ...
State-set branching: Leveraging BDDs for heuristic search
... In general, heuristic BDD-based search has received little attention in symbolic model checking. The reason is that the main application of BDDs in this field is verification where all reachable states must be explored. For Computation Tree Logic (CTL) checking [15], guiding techniques have been pro ...
... In general, heuristic BDD-based search has received little attention in symbolic model checking. The reason is that the main application of BDDs in this field is verification where all reachable states must be explored. For Computation Tree Logic (CTL) checking [15], guiding techniques have been pro ...
Survey of Applications Integrating Constraint Satisfaction and Case
... In recent years, there has been a growing focus on research and applications that integrate several reasoning techniques [29,30]. The general motivation for integrating several reasoning modes is to achieve a synergy which produces results that could not be obtained if each mode were operating indiv ...
... In recent years, there has been a growing focus on research and applications that integrate several reasoning techniques [29,30]. The general motivation for integrating several reasoning modes is to achieve a synergy which produces results that could not be obtained if each mode were operating indiv ...
A Computational Model of Belief - Rochester CS
... then ϕ is itself one of his beliefs. Since “roses are red” follows from “roses are red and violets are blue,” anyone who believes the latter must also believe the former. This may seem attractive, particularly as the substrate for a theory of simulative reasoning: if John believes ϕ, and believing ϕ ...
... then ϕ is itself one of his beliefs. Since “roses are red” follows from “roses are red and violets are blue,” anyone who believes the latter must also believe the former. This may seem attractive, particularly as the substrate for a theory of simulative reasoning: if John believes ϕ, and believing ϕ ...
Philosophy of artificial intelligence
The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑