Decision theory: an introduction to the mathematics of rationality
Decision theory: an introduction to the mathematics of rationality
Computational organization theory
Computational organization theory
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Software agents
Simulating organizations: computational models of institutions and groups
Simulating organizations: computational models of institutions and groups
TRURL: artificial world for social interaction studies
ALIFE Proceedings of the sixth international conference on Artificial life
Simulating society: a Mathematica toolkit for modeling socioeconomic behavior
Simulating society: a Mathematica toolkit for modeling socioeconomic behavior
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Cooperative Knowledge Processing: The Key Technology for Intelligent Organizations
Cooperative Knowledge Processing: The Key Technology for Intelligent Organizations
Modeling for Learning Organizations
Modeling for Learning Organizations
Artificial Intelligence in Organization and Management Theory
Artificial Intelligence in Organization and Management Theory
Organization Self-Design of Distributed Production Systems
IEEE Transactions on Knowledge and Data Engineering
Artificial Life
Towards Computation over Communities
Community Computing and Support Systems, Social Interaction in Networked Communities [the book is based on the Kyoto Meeting on Social Interaction and Communityware, held in Kyoto, Japan, in June 1998]
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TRURL is an agent-based simulation environment, which is designed to analyze social interactions among agents including software and people in community computing. The unique characteristics of TRURL are summarized as follows: (1) Unlike conventional simulation systems, TRURL has so many predetermined and acquired parameters with which TRURL is able to simulate very complex conditions of the societies. The former parameters have constant values during one simulation cycle, however, the latter parameters change during the interactions. (2) TRURL utilizes Genetic Algorithms to evolve the societies by changing the predetermined parameters to optimize macro-level socio-metric measures. This means TRURL solves large-scale inverse problems. This paper first describes basic principles, architecture, and mechanisms of TRURL. Then, it discusses how TRURL evolves the artificial societies by automated parameters tuning on both micro- and macro-level phenomena grounded in the activities of real worlds.