Browsing by Author "Polat, Faruk"

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Open Access
Distributed artificial intelligence in engineering design
(ASME, 1992) Polat, Faruk; Güvenir, H. Altay
Distributed Artificial Intelligence (DAI) research is concerned with solving problems using both AI techniques and distributed processing. DAI techniques can be used to solve many complex problems such as engineering design problems, interpretation problems, planning problems, etc. In this paper, first a survey of DAI approach to problem solving is given and then how a DAI tool, the CEF, is used to implement a system for designing steam condensers, called STEAMER, is described.
Open Access
Knowledge base verification in an expert system shell
(1989) Polat, Faruk
An important part of an expert system is its knowledge base which contains domain dei^endent knowledge. Knowledge base verification is one of the important ¡problems of knowledge acquisition. It is the process of checking that a knowledge base is complete and consistent. An analysis of the rules can detect many potential problems that may exist in a knowledge base. The knowledge base may be incomplete, inconsistent, or even partly erroneous. Those problems unless identified and corrected may cause the inference engine to produce inconsistent results such as conflicting conclusions and sometimes to enter infinite loops. In order to be general, rules with certainty factors are preferred for knowledge representation. This is partly because rules are used in many applications and certainty factors are necessary when knowledge has probabilistic characteristics. Our approacli is to develop a knowledge base verification tool that can be used as a part of a rule-based expert system shell.
Open Access
A negotiation platform for cooperating multi-agent systems
(1993) Polat, Faruk
Research in Distributed Artificial Intelligence attempts to integrate and coordinate the activities of multiple, intelligent problem solvers that interact to solve complex tasks in domains such as design, medical diagnosis, business management, and so on. Due to the different goals, knowledge and viewpoints of the agents, conflicts might arise at any phase of the problem-solving process. Managing diverse knowledge requires well-organized models of conflict resolution. In this thesis, a computational model for cooperating intelligent agents which openly supports multi-agent conflict detection and resolution is described. The model is based on the insights that each agent has its own conflict management knowledge which is separated from its domain level knowledge. Each agent has its own conflict management knowledge which is not accessible or visible to others. Furthermore, there are no globally known conflict resolution strategies. Each agent involved in a conflict chooses a resolution scheme according to its self-interest. The problem-solving environment allows a new problem solver to be added or an existing one to be removed, without requiring any modification of the rest of the model, and therefore achieves open information system semantics.