Logic Programming with Defaults and Argumentation Theories*
... different approaches is so diverse that there is little hope that more than a tiny subset of the approaches could be directly integrated in a practical, scalable reasoning system. It is also often unclear how to extend most of these approaches to include other popular LP frameworks, such as HiLog [7 ...
... different approaches is so diverse that there is little hope that more than a tiny subset of the approaches could be directly integrated in a practical, scalable reasoning system. It is also often unclear how to extend most of these approaches to include other popular LP frameworks, such as HiLog [7 ...
Computational Discovery of Communicable Knowledge
... a syntax for concepts, skills, beliefs, and percepts the ability to load and parse such programs an interpreter for inference, execution, planning, and learning a trace package that displays system behavior over time We have used this language to develop adaptive intelligent agents in a vari ...
... a syntax for concepts, skills, beliefs, and percepts the ability to load and parse such programs an interpreter for inference, execution, planning, and learning a trace package that displays system behavior over time We have used this language to develop adaptive intelligent agents in a vari ...
Chapter 1 Psychometric Artificial General Intelligence: The Piaget
... that he presupposes that “man is an information processor,” and that therefore from his perspective the attempt to understand, simulate, and replicate human intelligence is by definition to grapple with the challenge of creating machine intelligence, Newell offers three possibilities for addressing ...
... that he presupposes that “man is an information processor,” and that therefore from his perspective the attempt to understand, simulate, and replicate human intelligence is by definition to grapple with the challenge of creating machine intelligence, Newell offers three possibilities for addressing ...
Syntactic and semantic information in finite systems
... Complex structures are too small and irregular for statistical mechanics and too large for fundamental theories to tackle. Another example of complex system not covered by the quoted definition is the structure of natural language. Words and sentences have some regularity but it is very hard to find ...
... Complex structures are too small and irregular for statistical mechanics and too large for fundamental theories to tackle. Another example of complex system not covered by the quoted definition is the structure of natural language. Words and sentences have some regularity but it is very hard to find ...
W10-03 - Association for Computational Linguistics
... one of the most challenging problems for a variety of NLP tasks, such as machine translation, text summarization, information retrieval, dialog systems, and sentiment analysis. Moreover, models of linguistic creativity are necessary for systems capable of generating story narratives, jokes, or poetr ...
... one of the most challenging problems for a variety of NLP tasks, such as machine translation, text summarization, information retrieval, dialog systems, and sentiment analysis. Moreover, models of linguistic creativity are necessary for systems capable of generating story narratives, jokes, or poetr ...
A Probabilistic Extension of the Stable Model
... Logic Networks. The proposed language, called LPMLN , is a generalization of logic programs under the stable model semantics, and as such, embraces the rich body of research in knowledge representation. The language is also a generalization of ProbLog, and is closely related to Markov Logic Networks ...
... Logic Networks. The proposed language, called LPMLN , is a generalization of logic programs under the stable model semantics, and as such, embraces the rich body of research in knowledge representation. The language is also a generalization of ProbLog, and is closely related to Markov Logic Networks ...
Word Sense Disambiguation for Arabic Text Categorization
... terms to concepts is ambiguous since we deal with natural language [9]. One word may have several meanings and thus one word may be mapped into several concepts. In this case, we need to determine which meaning is being used, which is the problem of sense disambiguation. Two simple disambiguation st ...
... terms to concepts is ambiguous since we deal with natural language [9]. One word may have several meanings and thus one word may be mapped into several concepts. In this case, we need to determine which meaning is being used, which is the problem of sense disambiguation. Two simple disambiguation st ...
Real-time decision problems: An operational research perspective
... reaction to external events. Accordingly, the main characteristic of a RTDS is its ability to analyze an irregularflow of incoming data that describes a dynamically evolving environmentand to take appropriateactions underresource limitations such as time availability, hardware specifications or othe ...
... reaction to external events. Accordingly, the main characteristic of a RTDS is its ability to analyze an irregularflow of incoming data that describes a dynamically evolving environmentand to take appropriateactions underresource limitations such as time availability, hardware specifications or othe ...
U P C
... the ‘i’ iteration and the ‘l’ pattern –from a total of ‘h’ patterns-). As introduced in the previous section, the number of queries for statistics is the variable that mainly defines the runtime, as it is always much higher than the queries required for web IR and requires much more runtime (several ...
... the ‘i’ iteration and the ‘l’ pattern –from a total of ‘h’ patterns-). As introduced in the previous section, the number of queries for statistics is the variable that mainly defines the runtime, as it is always much higher than the queries required for web IR and requires much more runtime (several ...
English
... according to Kosko (1999), ‘fuzz’ includes statements that are only partially true in order to define vague terms that have entered human language. This way of thinking has generally not been accepted by modern science. A set is a binary structure to which objects belong. An object either belongs to ...
... according to Kosko (1999), ‘fuzz’ includes statements that are only partially true in order to define vague terms that have entered human language. This way of thinking has generally not been accepted by modern science. A set is a binary structure to which objects belong. An object either belongs to ...
Vasant Dhar
... 13. Dhar, V., and Tuzhilin, A., Abstract Driven Pattern Discovery in Databases, IEEE Transactions on Knowledge and Data Engineering, Vol. 5, No. 6, December 1993. 14. Croker, A., and Dhar, V., A Knowledge Representation for Constraint Satisfaction Problems, IEEE Transactions on Knowledge and Data En ...
... 13. Dhar, V., and Tuzhilin, A., Abstract Driven Pattern Discovery in Databases, IEEE Transactions on Knowledge and Data Engineering, Vol. 5, No. 6, December 1993. 14. Croker, A., and Dhar, V., A Knowledge Representation for Constraint Satisfaction Problems, IEEE Transactions on Knowledge and Data En ...
myworld: an agent-oriented testbed for distributed artificial intelligence
... e-mail: mikew@sun.com.mmu.ac.uk, tel: (+44 61) 247 1531, fax: (+44 61) 247 1483. ...
... e-mail: mikew@sun.com.mmu.ac.uk, tel: (+44 61) 247 1531, fax: (+44 61) 247 1483. ...
1 WEATHER PREDICTION EXPERT SYSTEM
... approach and the dynamical approach” (Lorenz 19) [1]. Lorenz thus separated weather forecasting methodologies into two main branches in terms of numerical modeling and scientific processing (AI) of meteorological data. Hansen[2] explains this classification as follows; The empirical approach is base ...
... approach and the dynamical approach” (Lorenz 19) [1]. Lorenz thus separated weather forecasting methodologies into two main branches in terms of numerical modeling and scientific processing (AI) of meteorological data. Hansen[2] explains this classification as follows; The empirical approach is base ...
Improving Control-Knowledge Acquisition for Planning by Active
... is that problems are incrementally generated and tested. Only the ones that pass the filter will go to the learner. As an example of a filter, we can define it as: select those problems such that they are solved, and the first path that the planner explores does not contain the solution. This means ...
... is that problems are incrementally generated and tested. Only the ones that pass the filter will go to the learner. As an example of a filter, we can define it as: select those problems such that they are solved, and the first path that the planner explores does not contain the solution. This means ...
Paper
... way that "similar" states have similar representations. In the autonomous spacecraft example, it is dear that a natural state representation would be one that explictly notes spacecraft location as distinct from the current objective. on the basis of the "name" of the state, it is apparent that the ...
... way that "similar" states have similar representations. In the autonomous spacecraft example, it is dear that a natural state representation would be one that explictly notes spacecraft location as distinct from the current objective. on the basis of the "name" of the state, it is apparent that the ...
Slide 1
... and reproduce human thought and behavior – Includes thinking, speaking, feeling, and reasoning ...
... and reproduce human thought and behavior – Includes thinking, speaking, feeling, and reasoning ...
93brochure - SU-Linux
... logic. One of the founders of artificial intelligence research, Professor McCarthy invented Lisp, the programming language most used in AI research and also first proposed the general purpose time-sharing mode of using computers. The emphasis of his AI research has been in identifying the commonsens ...
... logic. One of the founders of artificial intelligence research, Professor McCarthy invented Lisp, the programming language most used in AI research and also first proposed the general purpose time-sharing mode of using computers. The emphasis of his AI research has been in identifying the commonsens ...
Learning Concepts by Interaction
... If machines could acquire conceptual knowledge with the same facility as humans, then AI would be much better off. There's no denying the dream of a machine that knows roughly what we know, organized roughly as we organize it, with roughly the same values and motives as we have. It makes sense, then ...
... If machines could acquire conceptual knowledge with the same facility as humans, then AI would be much better off. There's no denying the dream of a machine that knows roughly what we know, organized roughly as we organize it, with roughly the same values and motives as we have. It makes sense, then ...
Division of Informatics, University of Edinburgh
... very simple packaged use of planning technology accessible over the web). Fill in the form for your requirements on mapping physical to logical Unix disk volumes, and it writes the script for you. The maintenance of such scripts in Unix was proving problematic for a Unix system vendor to maintain. T ...
... very simple packaged use of planning technology accessible over the web). Fill in the form for your requirements on mapping physical to logical Unix disk volumes, and it writes the script for you. The maintenance of such scripts in Unix was proving problematic for a Unix system vendor to maintain. T ...
Multiple Choice
... The simulation approach in regard to AI includes all of the following problems EXCEPT: A. people don’t always know how they do things. B. the brain can perform parallel processing, which is difficult for computers. C. machines operate differently than the brain. D. we know how the brain functions an ...
... The simulation approach in regard to AI includes all of the following problems EXCEPT: A. people don’t always know how they do things. B. the brain can perform parallel processing, which is difficult for computers. C. machines operate differently than the brain. D. we know how the brain functions an ...
Intelligence in Wikipedia
... Contributing as a Non Primary Task Although tools already exist to help expert Wikipedia editors quickly make large numbers of edits [4], we instead want to enable contributions by the long tail of users not yet contributing [23]. In other words, we believe that pairing IIE with CCC will be most eff ...
... Contributing as a Non Primary Task Although tools already exist to help expert Wikipedia editors quickly make large numbers of edits [4], we instead want to enable contributions by the long tail of users not yet contributing [23]. In other words, we believe that pairing IIE with CCC will be most eff ...
Meinongian Semantics and Artificial Intelligence
... 3 Semantics of Semantic Networks It has been pointed out that there is nothing essentially “semantic” about semantic networks (Hendrix 1979; but cf. Woods 1975, Brachman 1979). Indeed, viewed as a data structure, it is arguable that a semantic network is a language (possibly with an associated logic ...
... 3 Semantics of Semantic Networks It has been pointed out that there is nothing essentially “semantic” about semantic networks (Hendrix 1979; but cf. Woods 1975, Brachman 1979). Indeed, viewed as a data structure, it is arguable that a semantic network is a language (possibly with an associated logic ...
Spring-99 Registration
... problems in your research or commercial product, what were your experiences with this research or product? How did it succeed and what were the pitfalls along the way? ■ Building long-term plans for technology transfer: How can we integrate research projects into current and future computer games? W ...
... problems in your research or commercial product, what were your experiences with this research or product? How did it succeed and what were the pitfalls along the way? ■ Building long-term plans for technology transfer: How can we integrate research projects into current and future computer games? W ...
Dr. Abeer Mahmoud - PNU-CS-AI
... we need to know how people think • Cognitive science integrates computational models ...
... we need to know how people think • Cognitive science integrates computational models ...