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A mathematical formulation of intelligent agents and their activities

Includes bibliography: leaves 119-126.

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Bibliographic Details
Main Author: Jeftha, Lindsey
Other Authors: Rewitzky, Ingrid
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2014
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access_status_str Open Access
author Jeftha, Lindsey
author2 Rewitzky, Ingrid
author_browse Jeftha, Lindsey
Rewitzky, Ingrid
author_facet Rewitzky, Ingrid
Jeftha, Lindsey
author_sort Jeftha, Lindsey
collection Thesis
description Includes bibliography: leaves 119-126.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:51:03.588Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
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publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/6755 A mathematical formulation of intelligent agents and their activities Jeftha, Lindsey Rewitzky, Ingrid Mathematics Includes bibliography: leaves 119-126. The task of optimising a collection of objective functions subject to a set of constraints is as important to industry as it is ubiquitous. The importance of this task is evidenced by the amount of research on this subject that is currently in progress. Although this problem has been solved satisfactorily in a number of domains, new techniques and formalisms are still being devised that are applicable in fields as diverse as digital filter design and software engineering. These methods, however, are often computationally intensive, and the heavy reliance on numeric processing usually renders them unintuitive. A further limitation is that many of the techniques treat the problem in top-down fashion. This approach often manifests itself in large, complex systems of equations that are difficult to solve and adapt. By contrast, in a bottom-up approach, a given task is distributed over a collection of smaller components. These components embed behaviour that is determined by simple rules. The interactions between the components, however, often yield behaviour, the complexity of which surpasses what can be captured by the systems of equations that arise from a top-down approach. In this dissertation, we wish to study this bottom-up approach in more detail. Our aim is not to solve the optimisation problem, but rather, to study the smaller components of the approach and their behaviour more closely. To model the components, we choose intelligent agents because these represent a simple yet effective paradigm for capturing complex behaviour with simple rules. We provide several representations for the agents, each of which enables us to model a different aspect of their behaviour. To formulate the representations, we use techniques and concepts from fields such as universal algebra, order theory, domain theory and topology. As part of the formulation we also present a case study to demonstrate how the formulation could be applied. 2014-08-29T12:43:30Z 2014-08-29T12:43:30Z 2004 Thesis http://hdl.handle.net/11427/6755 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town
spellingShingle Mathematics
Jeftha, Lindsey
A mathematical formulation of intelligent agents and their activities
title A mathematical formulation of intelligent agents and their activities
title_full A mathematical formulation of intelligent agents and their activities
title_fullStr A mathematical formulation of intelligent agents and their activities
title_full_unstemmed A mathematical formulation of intelligent agents and their activities
title_short A mathematical formulation of intelligent agents and their activities
title_sort mathematical formulation of intelligent agents and their activities
topic Mathematics
url http://hdl.handle.net/11427/6755
work_keys_str_mv AT jefthalindsey amathematicalformulationofintelligentagentsandtheiractivities
AT jefthalindsey mathematicalformulationofintelligentagentsandtheiractivities