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In human-level simulations, like video games can be, the design of character's behaviors has an important impact on simulation realism. We propose to divide it into a reasoning part, dedicated to a planner, and an individuality part, assigned to an action selection mechanism. Applying the separation of declarative and procedural aspects, the principle is to provide every character's agent with the...
This paper is concerned with decentralized planning and scheduling where the information for decision making resides within local agents. When considering a decentralized approach, the goal is not primarily on achieving global optimality. For instance, [Greenstadt et al. 2006] studies the tradeoff in the Distributed Constraint Optimization (DCOP) problem on efficiency, privacy and optimality. In principle,...
A geometric approach to multi-robots group formation with connectivity preservation(from a graph-theoretic perspective) among group members has been presented. It has been proven that such formation approach would result into a unique shortest connectivity link among group members which would not only guarantee the communication preservation among the robotic agents but also facilitate the message...
Group modeling is still an open challenge problem in pedestrian crowd simulations. Most existing work is based on socio-psychological models which can only describe the dynamics of pedestrians' socio-psychological states. The ability of dynamic grouping also requires that pedestrians are intelligent to behave adaptively in the ever changing environment. However, little work has incorporated the effect...
In recent years there has been a great deal of research about personalization in information access. The main issue is to improve the quality of search by producing user-tailored results related to specific user needs. In this context two key research problems concerns how to model user preferences, and how to exploit them in effective personalisation processes. This talk will address the above problems,...
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