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» Updating of Association Rules Dynamically
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NECO
2007
150views more  NECO 2007»
13 years 8 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
ECAL
2005
Springer
14 years 2 months ago
Emergence of Structure and Stability in the Prisoner's Dilemma on Networks
We study a population of individuals playing the prisoner’s dilemma game. Individual strategies are invariable but the network of relationships between players is allowed to chan...
Leslie Luthi, Mario Giacobini, Marco Tomassini
BMCBI
2010
149views more  BMCBI 2010»
13 years 8 months ago
RuleMonkey: software for stochastic simulation of rule-based models
Background: The system-level dynamics of many molecular interactions, particularly protein-protein interactions, can be conveniently represented using reaction rules, which can be...
Joshua Colvin, Michael I. Monine, Ryan N. Gutenkun...
KES
1998
Springer
14 years 24 days ago
Attractor systems and analog computation
Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...
Hava T. Siegelmann, Shmuel Fishman
IADIS
2003
13 years 10 months ago
Modelling Adaptive Web Applications
Conceptual Modelling approaches for the web need extensions to specify dynamic personalization properties in order to design more powerful web applications. Current approaches pro...
Irene Garrigós, Jaime Gómez, Cristin...