A Symbol Is Not A Symbol
... point is the emphasize on viewing the organism in relation to its environment, which points to the close connection between knowledge and adaption (In a sense, Newell's [1982] The Knowledge Level expresses a similar point from a different perspective). ...
... point is the emphasize on viewing the organism in relation to its environment, which points to the close connection between knowledge and adaption (In a sense, Newell's [1982] The Knowledge Level expresses a similar point from a different perspective). ...
Bibliography
... T. Matsukawa and E. Yokota. Development of the concept dictionaryimplementation of lexical knowledge. In J. Pustejovsky and S. Bergler (eds.). In the Proceedings of the ACL Workshop on Lexical Semantics and Knowledge Representation, 206-223. Berkeley, CA, June, 1991. ...
... T. Matsukawa and E. Yokota. Development of the concept dictionaryimplementation of lexical knowledge. In J. Pustejovsky and S. Bergler (eds.). In the Proceedings of the ACL Workshop on Lexical Semantics and Knowledge Representation, 206-223. Berkeley, CA, June, 1991. ...
Representation = Grounded Information - Our research
... complexity and challenge that the grounding problem presents. This paper takes an important step towards clarifying the underlying concepts and terminology that we can use to advance our understanding of the grounding problem. AI researchers have designed and built impressive robotic systems that de ...
... complexity and challenge that the grounding problem presents. This paper takes an important step towards clarifying the underlying concepts and terminology that we can use to advance our understanding of the grounding problem. AI researchers have designed and built impressive robotic systems that de ...
A Computational Theory of Inference for Arithmetic Explanation Albert Goldfain
... My computational theory is implemented in the SNePS knowledgerepresentation, reasoning, and acting system [11]. The fundamental datastructure of SNePS is a propositional semantic network. A SNePS network represents the beliefs of Cassie, the SNePS cognitive agent. A semantic network is abstract enou ...
... My computational theory is implemented in the SNePS knowledgerepresentation, reasoning, and acting system [11]. The fundamental datastructure of SNePS is a propositional semantic network. A SNePS network represents the beliefs of Cassie, the SNePS cognitive agent. A semantic network is abstract enou ...
Adapting the Turing Test for Embodied Neurocognitive Evaluation of
... clude walking, throwing, kicking, and catching balls, building towers, carrying objects, folding paper, simple drawing, climbing, walking down stairs, and imitating manual and bilateral movements. Their cognitive skills include matching (names to pictures, sounds to animals, identical objects, etc.) ...
... clude walking, throwing, kicking, and catching balls, building towers, carrying objects, folding paper, simple drawing, climbing, walking down stairs, and imitating manual and bilateral movements. Their cognitive skills include matching (names to pictures, sounds to animals, identical objects, etc.) ...
A88-1018
... words or grammatical lapses, but are also more apt to derive erroneous interpretations, fail to detect inconsistencies between what is said and how it is interpreted, and often cannot produce any results when the text presents unusual or unexpected information. Integration of these two approaches ca ...
... words or grammatical lapses, but are also more apt to derive erroneous interpretations, fail to detect inconsistencies between what is said and how it is interpreted, and often cannot produce any results when the text presents unusual or unexpected information. Integration of these two approaches ca ...
"Abstractions and Hierarchies for Learning and Planning
... Multi-value-functions: Efficient automatic action hierarchies for multiple goal MDPs. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99), pages 1316–1323, 1999. 6. Amy McGovern. Autonomous Discovery of Temporal Abstractions from Interaction with an E ...
... Multi-value-functions: Efficient automatic action hierarchies for multiple goal MDPs. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99), pages 1316–1323, 1999. 6. Amy McGovern. Autonomous Discovery of Temporal Abstractions from Interaction with an E ...
Applications of Signatures to Expert Systems Modelling
... literature. Multi-expert models are discussed in [15]. The combination of fuzzy logic, neural networks, genetic algorithms and statistic analysis is analysed in [16]. Reliable rule-based systems with uncertainty are obtained in [17] on the basis of semantic data integration. Model-driven engineering ...
... literature. Multi-expert models are discussed in [15]. The combination of fuzzy logic, neural networks, genetic algorithms and statistic analysis is analysed in [16]. Reliable rule-based systems with uncertainty are obtained in [17] on the basis of semantic data integration. Model-driven engineering ...
Reframing Autonomous Weapons Systems
... indefinitely, or has predetermined limits on the amount of time or ordinance each clearance provides. In analyzing these issues, one quickly realizes that the type of autonomy that is of concern is no more complicated than the type of autonomy that we cede to chess programs. In both cases the human ...
... indefinitely, or has predetermined limits on the amount of time or ordinance each clearance provides. In analyzing these issues, one quickly realizes that the type of autonomy that is of concern is no more complicated than the type of autonomy that we cede to chess programs. In both cases the human ...
15. MANAGING KNOWLEDGE
... 3. INFORMAL, internal knowledge, often called TACIT KNOWLEDGE, which resides in the minds of individual employees but has not been documented in structured form ...
... 3. INFORMAL, internal knowledge, often called TACIT KNOWLEDGE, which resides in the minds of individual employees but has not been documented in structured form ...
Uluslararası İnsan Bilimleri Dergisi
... may be provided via Natural Language Processing (NLP) in order to combine human learning and machine reasoning. As expressed by Verspoor and Cohen (2013, p.1495), NLP is the analysis of linguistic data, most commonly in the form of textual data such as documents or publications, using computational ...
... may be provided via Natural Language Processing (NLP) in order to combine human learning and machine reasoning. As expressed by Verspoor and Cohen (2013, p.1495), NLP is the analysis of linguistic data, most commonly in the form of textual data such as documents or publications, using computational ...
Issues in Temporal and Causal Inference
... Operation. An operation is an event that can be realized by the system itself. For example, “to follow Bob” is represented in Narsese as operation “⇑f ollow({Bob})”, which the system can realize by directly executing it. The formal definitions of the symbols used above are given in [32], and here th ...
... Operation. An operation is an event that can be realized by the system itself. For example, “to follow Bob” is represented in Narsese as operation “⇑f ollow({Bob})”, which the system can realize by directly executing it. The formal definitions of the symbols used above are given in [32], and here th ...
"Building Knowledge Automation Systems with Exsys CORVID" by
... decision-making knowledge and customized recommendations through an interactive interface, rather than just providing facts and data. These types of Web-enabled systems can be integrated into Web sites by a variety of techniques discussed in the book. The systems interact with users in a conversatio ...
... decision-making knowledge and customized recommendations through an interactive interface, rather than just providing facts and data. These types of Web-enabled systems can be integrated into Web sites by a variety of techniques discussed in the book. The systems interact with users in a conversatio ...
Preference Modeling and Preference Elicitation: an - CEUR
... Handling preferences [16] is important in a number of domains, including recommender systems, computational advertisement, personal cognitive assistants, systems for decision support (for example, in medicine) and robotics. Artificial intelligence has been dealing with preferences for quite some tim ...
... Handling preferences [16] is important in a number of domains, including recommender systems, computational advertisement, personal cognitive assistants, systems for decision support (for example, in medicine) and robotics. Artificial intelligence has been dealing with preferences for quite some tim ...
Lesson9
... Robotics: - AI, engineering, and physiology are the basic disciplines of robotics. This technology produces robot machines with computer intelligence and computer-controlled, humanlike physical capabilities. The components of an expert system include a knowledge base and software modules that perfor ...
... Robotics: - AI, engineering, and physiology are the basic disciplines of robotics. This technology produces robot machines with computer intelligence and computer-controlled, humanlike physical capabilities. The components of an expert system include a knowledge base and software modules that perfor ...
- Notesvillage
... This course on AI is about designing rational agents Abstractly, an agent is a function from percept histories to actions: ...
... This course on AI is about designing rational agents Abstractly, an agent is a function from percept histories to actions: ...
Author template for journal articles
... concepts closely linked to it. For a more detailed account, we recommend the review articles by (McGee, 2005, 2006). Enaction originates from the notion of autopoietic systems put forward by Maturana and Varela as model of the living centred on the capacity of organisms to preserve their viability ( ...
... concepts closely linked to it. For a more detailed account, we recommend the review articles by (McGee, 2005, 2006). Enaction originates from the notion of autopoietic systems put forward by Maturana and Varela as model of the living centred on the capacity of organisms to preserve their viability ( ...
An Expert System Framework for Infertility in Women using Web
... finds a match, it adds the rules conclusion to the working memory and will continuously scan the rules to look up for new matches. Thus, it will be used for deducing answers or results from the knowledge base. Explanation mechanism is potentially very useful in the expert system. This is because it ...
... finds a match, it adds the rules conclusion to the working memory and will continuously scan the rules to look up for new matches. Thus, it will be used for deducing answers or results from the knowledge base. Explanation mechanism is potentially very useful in the expert system. This is because it ...
A Unified Cognitive Architecture for Physical Agents
... the system did not execute it on the previous cycle, the start conditions match the contents of belief memory. Determining whether a given skill clause is applicable relies on the same match process utilized in conceptual inference and goal satisfaction. Matching the percepts, start conditions, and ...
... the system did not execute it on the previous cycle, the start conditions match the contents of belief memory. Determining whether a given skill clause is applicable relies on the same match process utilized in conceptual inference and goal satisfaction. Matching the percepts, start conditions, and ...