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These papers are aimed at showing the basic virtues of the agent approach to the management system. We will show the logical skeleton of the management system and reasons why the multiagent environment is suitable to implement it. Our research concentrates on creating a complete closed-loop MRP class application. Especially, we would like to show modification and developing perspectives. The following...
Granularity of Knowledge [15] has been proposed as a metaphor with which to capture the basic phenomenon of Reasoning under Uncertainty viz. the presence in the reasoning prosess and in its symbolic versions of constructs representing vaguely defined collections of objects drawn together by some similarity relations, e.g. fuzzy ones (cf. [14]). Similarly, the idea of Computing with Words has been...
In this paper we present a model for coalition formation in a Multi-Agent System with incomplete information. Our approach is partitioned into two levels: the social level and the strategic level. The social level is focused on some strategies for the interaction in a given environment. The strategic level consists of strategies for individual agent to act in an uncertain environment for maximization...
Problem solving with multi-agent systems appears to be a very active research area nowadays. We present in this talk an overview of some works around distributed Constraint Satisfaction Problems and we point out some recent results about phase transition and emergence in multi-agents resolution of such problems. We also point out the links and differences with distributed or randomized algorithms.
In this paper we present some methods and algorithms for large scale computing which cover different areas of computational and computer sciences. They concern particle models, CFD computing, animation, monitoring and predicting of application performance as well as scientific visualization and scientific data storing and retrieving.
The concept of decentralised evolutionary computation realised as evolutionary multi-agent system (EMAS) is described in the paper. Also agent-based evolutionary approach to neural network architecture optimisation is presented. Then the problem of tme-series prediction and a general idea of evolutionary neural multi-agent predicting system is introduced. Selected design issues together with preliminary...
Properties of actuaal and future languages for Multi-Agent System designing are outlined. This approach includes principles of Multi-Agent System programming: description of agent mental state, synchronous and asynchronous communication mechanisms, agent interpreter cycle, etc. An alternative approach is to adopt the used programming languages to design the Mult-Agent System. This approach is obviously...
Distributions of traits in a population provide important information about evolution of the population itself. In this paper an analysis of traits distributions in a phenotypic evolution is presented. A very simple model of evolution is under consideration - infinite populations evolve in one dimension space of a bimodal fitness function. The analysis of dynamic behavior of a population yields an...
Molecular computing is a new multidisciplinary area of research concerned with design, and theoretical and empirical understanding of computing gleaned from nature. It aims at the implementation of algorithms in molecular hardware, e.g. using DNA molecules and enzymes. The main advantages of the molecular computing lie in the possibility to obtain a massive parallelism of computation and associative...
In the paper, a method of determining optimal control with the expected value-variance criteria is presented. The method anables the reduction in risk of getting some undesirable values of a performance index. As in most multicriteria infinite horizon control problems we apply transformation into linear programming problem. Unfortunately, the compexity of the obtained optimization problem is very...
The study of multiagent distributed systems through the optics of the theory of formal grammars and languages is presented. Models based on NLC and BNLC graph grammars are mainly considered. The basic intuition of a grammar model of distributed systems follows the blackboard model for problem solving and is the following: component grammars forming the distributed system execute rewritings on a shared...
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