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» Controlling Complexity
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EVOW
2009
Springer
15 years 4 months ago
Swarming for Games: Immersion in Complex Systems
Abstract. The swarm metaphor stands for dynamic, complex interaction networks with the possibility of emergent phenomena. In this work, we present two games that challenge the vide...
Sebastian von Mammen, Christian Jacob
ECAL
2007
Springer
15 years 3 months ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão
IAT
2008
IEEE
14 years 9 months ago
Scaling Up Multi-agent Reinforcement Learning in Complex Domains
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
Dan Xiao, Ah-Hwee Tan
ER
2007
Springer
106views Database» more  ER 2007»
15 years 3 months ago
Modeling and Engineering Adaptive Complex Systems
This paper describes a strategy for modeling and engineering complex e-business systems with built-in quality of adaptiveness. The paper explains the philosophical and scientific ...
Leszek A. Maciaszek
PCM
2007
Springer
143views Multimedia» more  PCM 2007»
15 years 3 months ago
Towards a Stringent Bit-Rate Conformance for Frame-Layer Rate Control in H.264/AVC
This paper presents a novel frame-layer rate control technique that adaptively determines the frame complexity for bit allocation in order to satisfy the target bit-rate constraint...
Evan Tan, Jing Chen