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In recent years the field studies on collective behaviors have revealed that topological interaction of k nearest neighbors plays a the key role in flocking. In this work, we show a model of flocking through adaptation to k nearest topological neighbors, and examine the influence of the number of topological neighbors on flocking dynamics with different group size. The model is validated by simulations.
We address the nonuniform coverage of a planar region by a platoon of autonomous mobile agents when communications among them are stochastically intermittent. Given a set of generating points and a suitable metric, the solution of the optimal coverage problem is the well known Voronoi tessellation, with a set of mobile agents converging to the centroids of the corresponding Voronoi cells. In the framework...
Since optimal strategies ensure that agents negotiate optimally, finding optimal strategies for negotiation agents that have incomplete information is an important and challenging issue. In this study, we use estimation of distribution algorithms (EDAs) to find optimal strategies for a bilateral negotiation with incomplete information between two competitive negotiation agents by coevolving both the...
This work investigates the problem of finding near-optimal strategies for the bilateral negotiation with incomplete information between two competitive negotiation agents for resolving the differences in their objectives and preferences. While there are some former studies of finding negotiation strategies using evolutionary approaches, there are extremely few works on effectively locating the global...
Negotiation activities are carried out among stakeholders in a supply chain for resolving the differences in their objectives and preferences. The objective of this work is to find near-optimal negotiation strategies for bilateral negotiation with incomplete information, in which each agent has a competitive objective and incomplete information about its opponent, by coevolving both agents' strategies...
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