expansion of urban area is a well-known phenomenon in developing countries with population growth and the migration from villages to cities being two major factors. those factors reduce the influence of efforts to limit the cities boundaries. thus, spatial planners always look for the models that simulate the expansion of urban land-uses, and enable them to prevent unbalanced expansions of citi...

The main challenge addressed by this research is the knowledge acquisition bottleneck defined as the difficulty of creating and maintaining a knowledge base that represents a model of the exp ertise domain that exists in the mind of a domain expert. The mixed-initiative approach we are investigating, called Disciple (Tecuci et al. 1999; Boicu et al., 2000), relies on developing a very capable a...

some considerable damage to steel structures during the hyogo-ken nanbu earthquake occurred. among them, many exposed-type column bases failed in several consistent patterns, such as brittle base plate fracture, excessive bolt elongation, unexpected early bolt failure, and inferior construction work, etc. the lessons from these phenomena led to the need for improved understanding of column base...

application of agent based model in simulation of stakeholder’s behavior is slightly a new method for modeling of complicated systems that include autonomous agents interacting with each other. recent numerical achievements have made the applications of agent based models possible in various fields. these applications range from modeling of human progress and destruction of past civilizations t...

Since everything is a consequence of an inconsistency, classical logics are not useful in modeling the reasoning of an agent who has inconsistent beliefs. In this paper, we differentiate consistent beliefs from inconsistent beliefs. We propose two belief operators B c and B, standing for consistent belief and belief, respectively. B c has the modus ponens property, by which the agent is able to...

This paper shows possibility of extraction Social, Group and Individual Mind from Multiple Agents Rule Bases. Types those Rule bases are selected as two fuzzy systems, namely Mambdani and Takagi-Sugeno fuzzy system. Their rule bases are describing (modeling) agent behavior. Modifying of agent behavior in the time varying environment will be provided by learning fuzzyneural networks and optimiza...

In this paper, we demonstrate how to design protocols with the platform independent modeling language for multiagent systems (Dsml4mas) and discuss a model-driven approach to use protocol descriptions as a base for generating the corresponding agent behaviors which can finally be executed with Jack Intelligent Agents.