Behavioral and learning models

摘要

Currently, the most challenging aspect of simular methodology is the representation of the behavior and decision processes in animals, including man. One approach, especially suited for miming human decision-making, is the construction of gaming models, in which selected humans participate as physical entities at pertinent points in simular time.

The construction of pertinent algorithms, meaningful to simulations which mime behavioral and learning processes, constitutes an important inter-disciplinary topic of the contemporary systemic sciences, and involves psychologists, neurologists, statisticians, and systemic scientists who construct credible simulation models.

The Behavioral and Learning Models Session includes: two papers which stress that simulation modeling is playing in the development of our understanding of these two areas; than, a panel discussion whose members shall address the need for the application of both stringent verification tests and assiduous validation tests in order to establish credible simulation models; and, a final paper which indicates the role, which an understanding of human behavioral and learning processes must occupy, in establishing credible simulation models of environmental and societal systems.