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HICSS
2003
IEEE
116views Biometrics» more  HICSS 2003»
13 years 10 months ago
Modeling Instrumental Conditioning - The Behavioral Regulation Approach
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
Jose J. Gonzalez, Agata Sawicka
CDC
2009
IEEE
179views Control Systems» more  CDC 2009»
13 years 9 months ago
Bayesian network approach to understand regulation of biological processes in cyanobacteria
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
Thanura R. Elvitigala, Abhay K. Singh, Himadri B. ...
JOCN
2010
111views more  JOCN 2010»
13 years 3 months ago
Coordinated Roles of Motivation and Perception in the Regulation of Intergroup Responses: Frontal Cortical Asymmetry Effects on
■ Self-regulation is believed to involve changes in motivation and perception that function to promote goal-driven behavior. However, little is known about the way these process...
David M. Amodio
DSS
2006
108views more  DSS 2006»
13 years 4 months ago
Matching observed behavior and modeled behavior: An approach based on Petri nets and integer programming
Inspired by the way SAP R/3 and other transactional information systems log events, we focus on the problem to decide whether a process model and a frequency profile "fit"...
Wil M. P. van der Aalst
BMCBI
2010
152views more  BMCBI 2010»
13 years 4 months ago
Comparative study of three commonly used continuous deterministic methods for modeling gene regulation networks
Background: A gene-regulatory network (GRN) refers to DNA segments that interact through their RNA and protein products and thereby govern the rates at which genes are transcribed...
Martin T. Swain, Johannes J. Mandel, Werner Dubitz...