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ECAL
2003
Springer
16 years 3 days ago
Meta-evolutionary Game Dynamics for Mathematical Modelling of Rules Dynamics
This paper proposes an evolutionary-game-theory model, called meta-evolutionary game dynamics, for studying the dynamics of rules and individual behaviour. Although there are two g...
Takashi Hashimoto, Yuya Kumagai
ADC
2001
Springer
97views Database» more  ADC 2001»
15 years 11 months ago
View updates in a semantic data modelling paradigm
The Sketch Data Model (SkDM) is a new semantic modelling paradigm based on category theory (specifically on categorical universal algebra), which has been used successfully in se...
Michael Johnson, Robert D. Rosebrugh, Christopher ...
CONTEXT
2001
Springer
15 years 11 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
REX
1993
15 years 11 months ago
Relationships Between Models of Concurrency
Abstract. Models for concurrency can be classified with respect to three relevant parameters: behaviour/system, interleaving/noninterleaving, linear/branching time. When modelling...
Mogens Nielsen, Vladimiro Sassone, Glynn Winskel
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
15 years 8 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...