and Law - The University of Buckingham Press Journals
... help to pinpoint relevant terms and concepts, and help ensure that all but only the relevant documents are retrieved. Front-ends can be built using classical "knowledge engineering" I AI techniques - they can embody the knowledge of experts in the use of legal information retrieval systems and make ...
... help to pinpoint relevant terms and concepts, and help ensure that all but only the relevant documents are retrieved. Front-ends can be built using classical "knowledge engineering" I AI techniques - they can embody the knowledge of experts in the use of legal information retrieval systems and make ...
IJEBM-JeffChang - Intelligent Agents Lab
... Keywords: Multi-Agent, Dynamic Game Theory, Hybrid Control System, Stability . ...
... Keywords: Multi-Agent, Dynamic Game Theory, Hybrid Control System, Stability . ...
Tim Menzies, Paul Compton Artificial Intelligence Laboratory, School
... exist that can generate new vertices or edges from existing vertices and edges7. M can represent (amongst other things) the dependency graph between literals in a propositional theory, a rule-based expert system8, a unfolded first-order system9, a declarative frame-based systems10, a qualitative rea ...
... exist that can generate new vertices or edges from existing vertices and edges7. M can represent (amongst other things) the dependency graph between literals in a propositional theory, a rule-based expert system8, a unfolded first-order system9, a declarative frame-based systems10, a qualitative rea ...
Constraint-Based Knowledge Representation for Individualized
... The upshot is that instructional AI systems that operate with traditional knowledge representations create models of students that are underdetermined by the empirical data and yet fully specified. Techniques for student modeling can be conceptualized as attempts to deal with this dilemma. For examp ...
... The upshot is that instructional AI systems that operate with traditional knowledge representations create models of students that are underdetermined by the empirical data and yet fully specified. Techniques for student modeling can be conceptualized as attempts to deal with this dilemma. For examp ...
Stages of Cognitive Development in Uncertain-Logic
... heuristic guidance [27], a stage which we suspect exists and allows formulation of heuristics by aggregation of learning from preheuristic pattern mining. Coupled with his belief that a mind’s innate abilities at birth are extremely limited, there is a troublingly unexplained transition from inabil ...
... heuristic guidance [27], a stage which we suspect exists and allows formulation of heuristics by aggregation of learning from preheuristic pattern mining. Coupled with his belief that a mind’s innate abilities at birth are extremely limited, there is a troublingly unexplained transition from inabil ...
Natural and Artificial Systems: Compare, Model or - PUMA
... whereas, for example, neuroscientific models might [5]. It is clear that the artificial system in modeling stands in for the natural system – because results about the model tell us how natural systems work. Yet it is not always clear how the ER system relates to a natural system. This is evidenced ...
... whereas, for example, neuroscientific models might [5]. It is clear that the artificial system in modeling stands in for the natural system – because results about the model tell us how natural systems work. Yet it is not always clear how the ER system relates to a natural system. This is evidenced ...
Artificial General Intelligence and Classical Neural Network
... These three levels have strong influence to each other, though the decisions on one level usually do not completely depend on the decisions on another level. Also, the problems on one level usually cannot be solved on a different level. For example, a weakness in a theory usually cannot be made up b ...
... These three levels have strong influence to each other, though the decisions on one level usually do not completely depend on the decisions on another level. Also, the problems on one level usually cannot be solved on a different level. For example, a weakness in a theory usually cannot be made up b ...
Natural intelligence in design*
... of designing. But we also know that some people are better designers than others. Ever since the emergence of designers as separate professions, it appears that some people have a design ability that is more highly-developed than other people—either through some genetic endowment or through social a ...
... of designing. But we also know that some people are better designers than others. Ever since the emergence of designers as separate professions, it appears that some people have a design ability that is more highly-developed than other people—either through some genetic endowment or through social a ...
Chapter 5 - Dr. Djamel Bouchaffra
... – Goal: Given a logic & a world, you want to choose what in the world you want to refer to (relations and objects): ontology of the domain – How to represent: “Pen #7 is red.” • Red(pen7). It’s easy to ask “What’s red?” Can’t ask “what is the color of pen7?” • Color(pen7, red). It’s easy to ask “Wha ...
... – Goal: Given a logic & a world, you want to choose what in the world you want to refer to (relations and objects): ontology of the domain – How to represent: “Pen #7 is red.” • Red(pen7). It’s easy to ask “What’s red?” Can’t ask “what is the color of pen7?” • Color(pen7, red). It’s easy to ask “Wha ...
Distributed Artificial Intelligence
... field. The issues related to DAI can be studied from different perspectives: a) Individual perspective: This perspective focuses on the issues related to the design and understanding of individual agents, decision makers or problem solvers. The characteristics of agents, such as reactive, deliberate ...
... field. The issues related to DAI can be studied from different perspectives: a) Individual perspective: This perspective focuses on the issues related to the design and understanding of individual agents, decision makers or problem solvers. The characteristics of agents, such as reactive, deliberate ...
Evolving Circuits on a Field ... Analog Array Using Genetic Programming A
... not typically used or understood by human designers. ...
... not typically used or understood by human designers. ...
Q - Duke Computer Science
... O(n2) arcs; each arc is added to the queue at most d times; consistency of an arc can be checked with d2 lookups in the constraint’s ...
... O(n2) arcs; each arc is added to the queue at most d times; consistency of an arc can be checked with d2 lookups in the constraint’s ...
ARTIFICIAL INTELLIGENCE
... problems. Heuristics are the knowledge used to make good judgement or the strategies, tricks or “rules of thumb” used to simplify the solution of problems. Heuristics are usually acquired with much experience. For example in locating a fault in a TV set. Epistemology : is the study of the nature of ...
... problems. Heuristics are the knowledge used to make good judgement or the strategies, tricks or “rules of thumb” used to simplify the solution of problems. Heuristics are usually acquired with much experience. For example in locating a fault in a TV set. Epistemology : is the study of the nature of ...
References - Center for the Ecological Study of Perception and Action
... Helmholtz, von H. (1868/1968). Recent progress of the theory of vision. In R. M. Warren and R. P. Warren (Eds.), Helmholtz on perception: its physiology and development (pp. 59-136). New York: Wiley. Helmholtz, von H. (1879/1968). The facts of perception. In R. M. Warren and R. P. Warren (Eds.), Hel ...
... Helmholtz, von H. (1868/1968). Recent progress of the theory of vision. In R. M. Warren and R. P. Warren (Eds.), Helmholtz on perception: its physiology and development (pp. 59-136). New York: Wiley. Helmholtz, von H. (1879/1968). The facts of perception. In R. M. Warren and R. P. Warren (Eds.), Hel ...
Employing a Java Expert System Shell for Intelligent - CEUR
... In such a situation time is inevitably expended in the communication of requirements, specifications and constraints. Thus, given the increasing demand for full commercial-scale ITS and the large development time for such systems, there is clearly a need for the ITS development process to be made fa ...
... In such a situation time is inevitably expended in the communication of requirements, specifications and constraints. Thus, given the increasing demand for full commercial-scale ITS and the large development time for such systems, there is clearly a need for the ITS development process to be made fa ...
kb1
... Knowledge Representation • General problem-solving techniques are useful, but effectiveness often depends on extensive, domainspecific knowledge. • Knowledge-based systems use a KNOWLEDGE BASE (KB) of facts about the world • Knowledge usually comes from “experts” who have experience solving problems ...
... Knowledge Representation • General problem-solving techniques are useful, but effectiveness often depends on extensive, domainspecific knowledge. • Knowledge-based systems use a KNOWLEDGE BASE (KB) of facts about the world • Knowledge usually comes from “experts” who have experience solving problems ...
Reconstructing Physical Symbol Systems
... weak that the only way it could conflict with “research at the neuropsychological level” is by a violation of the necessity clause. If a generally intelligent organism were found to have no symbol system hidden anywhere inside it, the PSSH would be refuted. But this is extremely unlikely given our p ...
... weak that the only way it could conflict with “research at the neuropsychological level” is by a violation of the necessity clause. If a generally intelligent organism were found to have no symbol system hidden anywhere inside it, the PSSH would be refuted. But this is extremely unlikely given our p ...
Rule-Based Classifiers
... suckles ⇒ mammal hairy ⇒ mammal (mammal ∧ chewsCud) ⇒ ungulate (ungulate ∧ longNeck) ⇒ giraffe (ungulate ∧ striped) ⇒ zebra (ungulate ∧ tusks) ⇒ elephant ...
... suckles ⇒ mammal hairy ⇒ mammal (mammal ∧ chewsCud) ⇒ ungulate (ungulate ∧ longNeck) ⇒ giraffe (ungulate ∧ striped) ⇒ zebra (ungulate ∧ tusks) ⇒ elephant ...