Computational organization theory
Computational and mathematical organization theory: perspective and directions
Computational & Mathematical Organization Theory
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Computational organization theory
Multiagent systems
Simulating society: a Mathematica toolkit for modeling socioeconomic behavior
Simulating society: a Mathematica toolkit for modeling socioeconomic behavior
Making Organizational Learning Operational: Implications from Learning Classifier Systems
Computational & Mathematical Organization Theory
Computational Economics
Exploration and Exploitation Trade-Off in Multiagent Learning
ICCIMA '01 Proceedings of the Fourth International Conference on Computational Intelligence and Multimedia Applications
Hi-index | 0.00 |
This paper stresses the importance of focusing on modeling processes in order to make cumulative progress in agent-based approaches. In this paper, we introduce our approach to analyzing modeling processes and investigate its possibilities toward cumulative progress. The capabilities of our approach can be summarized as follows: (1) our approach has great potential to promote cumulative progress in agent-based approaches; and (2) the elements found by our approach have high possibilities of affecting the real world, being utilized as tool-kits, and supporting the KISS principle.