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COLLABORATIVE CONTEXT-BASED REASONING
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TitleCOLLABORATIVE CONTEXT-BASED REASONING
AuthorBarrett, Gilbert
Keywordsteamwork
collaborative
behavior
context based reasoning
joint intention theory
AbstractThis dissertation explores modeling collaborative behavior, based on Joint Intentions Theory (JIT), in Context-Based Reasoning (CxBR). Context-Based Reasoning is one of several contextual reasoning paradigms. And, Joint Intentions Theory is the definitive semantic framework for collaborative behaviors. In order to formalize collaborative behaviors in CxBR based on JIT, CxBR is first described in terms of the more popular Belief, Desire, and Intention (BDI) model. Once this description is established JIT is used as a basis for the formalism for collaborative behavior in CxBR. The hypothesis of this dissertation is that this formalism allows for effective collaborative behaviors in CxBR. Additionally, it is also hypothesized that CxBR agents inferring intention from explicitly communicating Contexts allows for more efficient modeling of collaborative behaviors than inferring intention from situational awareness. Four prototypes are built and evaluated to test the hypothesis and the evaluations are favorable. Effective collaboration is demonstrated through cognitive task analysis and through metrics based on JIT definitions. Efficiency is shown through software metric evaluations for volume and complexity of code.
AdviserGonzalez, Avelino
PublisherUniversity of Central Florida
DegreePh.D.
Degree DisciplineSchool of Electrical Engineering and Computer Science
Degree GrantorEngineering and Computer Science
Degree ProgramComputer Engineering PhD
Graduation Date2007-01-01
TypeDoctoral dissertation
Access LevelPublic - Allow Worldwide Access
Release Date2007-05-21
RepositoryUniversity Archives
Repository CollectionElectronic Theses and Dissertations
IdentifierCFE0001667
Access Linkhttp://purl.fcla.edu/fcla/etd/CFE0001667

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