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» The state of peer-to-peer simulators and simulations
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GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
15 years 7 days ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim
AIIDE
2006
14 years 12 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
ECRTS
2010
IEEE
14 years 11 months ago
Minimizing Multi-resource Energy for Real-Time Systems with Discrete Operation Modes
Energy conservation is an important issue in the design of embedded systems. Dynamic Voltage Scaling (DVS) and Dynamic Power Management (DPM) are two widely used techniques for sav...
Fanxin Kong, Yiqun Wang, Qingxu Deng, Wang Yi
SYNTHESE
2008
73views more  SYNTHESE 2008»
14 years 10 months ago
It's in your nature: a pluralistic folk psychology
I suggest a pluralistic account of folk psychology according to which not all predictions or explanations rely on the attribution of mental states, and not all intentional actions ...
Kristin Andrews
CONNECTION
2004
94views more  CONNECTION 2004»
14 years 10 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim