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A Comparative Analysis Between Context-Based Reasoning (CxBR) and Contextual Graphs (CxGs).
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TitleA Comparative Analysis Between Context-Based Reasoning (CxBR) and Contextual Graphs (CxGs).
AuthorLorins, Peterson Marthen
KeywordsConxtext-Based Reasoning (CxBR)
Contextual Graphs (CxGs)
Computer Generated Forces (CGFs)
Human Behavior Representation (HBR)
Genetic Programming (GP)
Subject Matter Expert (SME)
AbstractContext-based Reasoning (CxBR) and Contextual Graphs (CxGs) involve the modeling of human behavior in autonomous and decision-support situations in which optimal human decision-making is of utmost importance. Both formalisms use the notion of contexts to allow the implementation of intelligent agents equipped with a context sensitive knowledge base. However, CxBR uses a set of discrete contexts, implying that models created using CxBR operate within one context at a given time interval. CxGs use a continuous context-based representation for a given problem-solving scenario for decision-support processes. Both formalisms use contexts dynamically by continuously changing between necessary contexts as needed in appropriate instances. This thesis identifies a synergy between these two formalisms by looking into their similarities and differences. It became clear during the research that each paradigm was designed with a very specific family of problems in mind. Thus, CXBR best implements models of autonomous agents in environment, while CxGs is best implemented in a decision support setting that requires the development of decision-making procedures. Cross applications were implemented on each and the results are discussed.
AdviserGonzalez, Avelino
PublisherUniversity of Central Florida
DegreeM.S.Cp.E.
Degree DisciplineDepartment of Electrical and Computer Engineering
Degree GrantorEngineering and Computer Science
Degree ProgramComputer Engineering
Graduation Date2005-08-01
TypeMaster's thesis
Access LevelPublic - Allow Worldwide Access
Release Date2008-08-01
RepositoryUniversity Archives
Repository CollectionElectronic Theses and Dissertations
IdentifierCFE0000577
Access Linkhttp://purl.fcla.edu/fcla/etd/CFE0000577

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