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AbstractAgent-oriented system seems to be the attractive tool useful for numerous domains of applications. It gives the ability to integrate results of different domains of computer science and constitutes the powerful tool for solving various problems. The new approach to the simulation particularly in bio-computing and adaptive systems is possible to be developed mainly due to the results of the interactions among intelligent agents in complex adaptive systems. The modern agent-oriented paradigm allows understand the adaptive (e.g. finite element/finite difference) algorithms as a collection of interacting agents making local decision about refinements. This workshop focuses on the various applications of agent-oriented and adaptive systems and the roles of interactions of intelligent agents to build intelligent systems for miscellaneous, interesting applications.
Bio computing, Multi-agent systems, Nature inspired algorithms, Mathematical modeling and asymptotic analysis, Adaptive algorithms
Bio computing, Multi-agent systems, Nature inspired algorithms, Mathematical modeling and asymptotic analysis, Adaptive algorithms
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |