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- W121665653 abstract "The need to have well-structured and managed software architecture forcontrol, behavior, and decision making of multi agent environments is inevitable.This is due to the fact that these intelligent agents are expected toperform within a dynamically complex environment where proper and quickresponse in a cooperative manner is a primary key to successfully completea task. This thesis follows two main trends. The first trend is to design amodel for the agents’ software architecture, and the latter trend is to implementa nondeterministic decision making using electric fields and high-leveldecision making. Different layers are designed, defined, and implementedfor the software architecture with focus on system adaptability, sustainability,and optimization. The approach proposed in this thesis for the agents’decision making is based on layered artificial intelligence implemented usingvector-based fuzzy electric fields and a decision tree. Furthermore, anapproach to model the world which is, in this thesis, called Agent RelativePolar Localization is introduced. This world model is based on fuzzymeasurements and polar coordinates. This thesis also proposes a specialsupplementary flexible decision tree which may and can be modified basedon the application under which it is intended to be used or implemented.The aim of designing such decision tree is to provide more flexibility forthe decision making process. In order to optimize the overall performanceof the system learning methods have been introduced to the system. Theproposed system in this thesis has been implemented on soccer robots toevaluate the performance of the system and see that theoretical studies alsocan be applied to the real applications. The results show that the proposedsystem implemented on the soccer robots is reliable and robust." @default.
- W121665653 created "2016-06-24" @default.
- W121665653 creator A5009950954 @default.
- W121665653 date "2011-01-01" @default.
- W121665653 modified "2023-09-28" @default.
- W121665653 title "Multi-Agent Systems - An Approach to Design and Implement Applicable Software Architecture, World Modeling, and Decision Making" @default.
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