Titlebook: Neural Information Processing; 18th International C Bao-Liang Lu,Liqing Zhang,James Kwok Conference proceedings 2011 Springer-Verlag GmbH B

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Long Tang,Madhu Chetty,Suryani Limzität seiner Ressourcen zu gewährleisten und die Privacy („Privatheit“) seiner Benutzer zu schützen. In welchem Ausmaß diese Eigenschaften für ein konkretes System relevant sind, unterscheidet sich natürlich von Anwendungsfall zu Anwendungsfall. In diesem Kapitel soll auf die architekturrelevanten A

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BAIT

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Selective Track Fusion may be better to fuse many instead of all of the sensor tracks at hand. This result is interesting because at present, most approaches fuse all the available sensor tracks and treat all sensor data equally without regard of their different quality and different contribution to the system tracks. Th

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The Bystander Effect: Agent-Based Simulation of People’s Reaction to Norm Violationhere norms are violated. This paper presents an agent-based simulation model of this phenomenon. The simulation model presented demonstrates the decision process of an agent for norm violation situations with different characteristics, such as high versus low personal implications. The model has bee

不持续就爆

Multi Agent Carbon Trading Incorporating Human Traits and Game Theoryew simple simulation studies related to carbon trading that have been reported. In this paper, we propose a novel carbon trading simulator capable of modeling traits of human traders in carbon markets. The model is driven by the concept of Nash equilibrium within an agent based modeling paradigm. Th

JADED

Fast and Incremental Neural Associative Memory Based Approach for Adaptive Open-Loop Structural Contthat autonomously and incrementally learns to suppress the structural vibration caused by dynamic loads such as wind excitations and earthquakes to stabilize high-rise buildings. First, AMOLCO incrementally learns the associative pair of input excitation from either winds or earthquakes and the corr

极深

Emergence of Leadership in Evolving Robot Colony some researchers have tried to study on robot colony using evolutionary computational. In this paper, we present an evolutionary robot colony model and analyze their behavior for leadership characteristics in group of robots. Each robot has its own social position: leader, follower, and stranger. L

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Emergence of Purposive and Grounded Communication through Reinforcement Learning the communicated signals considering how to reflect it on the actions. In this paper, aiming to the emergence of purposive and grounded communication, communication is seamlessly involved in the entire process consisted of one neural network, and no special learning for communication but reinforcem