Titlebook: Agents and Artificial Intelligence; 5th International Co Joaquim Filipe,Ana Fred Conference proceedings 2014 Springer-Verlag Berlin Heidelb

Femine

Advances in Science, Technology & Innovatione heuristic uses self-organizing mechanisms to optimize a common global objective in a fully decentralized manner. We show that COHDA is a very efficient decentralized heuristic that is able to tackle a distributed combinatorial problem, without being dependent on centrally gathered knowledge.

commute

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谆谆教诲

BIDE

Rough Terrain Motion Planning for Actuated, Tracked Robotste including the actuator configurations. We present a roadmap and a RRT* method to perform the path refinement..Our algorithm does not rely on any detailed structure/terrain categorization or on any predefined motion sequences. Hence, our planner can be applied to urban structures, like stairs, as well as rough unstructured environments.

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Generation of Learning Situations According to the Learner’s Profile Within a Virtual Environmentng on the Zone of Proximal Development, we designed a learner’s profile based on a multidimensional space of classes of situations. Each point of the space depicts a belief on the learner’s ability to handle a kind of situation.

Stress

Enhancing Products by Embedding Agents: Adding an Agent to a Robot for Monitoring, Maintenance and Dt system. In this way exchange of parts and subsystems is possible. The possibilities and advantages of this concept are discussed as well as a more elaborate example of the implementation in an experimental discovery robot.

right-atrium

nuclear-tests

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