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» Modelling Bounded Rationality Using Evolutionary Techniques
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DAC
2006
ACM
14 years 8 months ago
Automatic invariant strengthening to prove properties in bounded model checking
In this paper, we present a method that helps improve the performance of Bounded Model Checking by automatically strengthening invariants so that the termination proof may be obta...
Mohammad Awedh, Fabio Somenzi
ICML
2003
IEEE
14 years 8 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
JAIR
2008
138views more  JAIR 2008»
13 years 7 months ago
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....
Ya'akov Gal, Avi Pfeffer
SBRN
2000
IEEE
14 years 6 days ago
An Evolutionary Immune Network for Data Clustering
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
Leandro Nunes de Castro, Fernando J. Von Zuben
DAC
2003
ACM
14 years 8 months ago
Learning from BDDs in SAT-based bounded model checking
Bounded Model Checking (BMC) based on Boolean Satisfiability (SAT) procedures has recently gained popularity as an alternative to BDD-based model checking techniques for finding b...
Aarti Gupta, Malay K. Ganai, Chao Wang, Zijiang Ya...