Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Simulation for the Social Scientist
Simulation for the Social Scientist
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
Handbook of Research on Nature-inspired Computing for Economics and Management
Handbook of Research on Nature-inspired Computing for Economics and Management
Machine morality: bottom-up and top-down approaches for modelling human moral faculties
AI & Society - Special Issue: Ethics and artificial agents
Individual behavior and macro social properties. An agent-based model
Computational & Mathematical Organization Theory
Computerized Simulation in the Social Sciences
Simulation and Gaming
Social signal processing: Survey of an emerging domain
Image and Vision Computing
Environments for multiagent systems state-of-the-art and research challenges
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
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The need for guiding model formulation of normative social systems in support of a digital ecosystem is introduced. Normative social systems improve the understanding of computational social processes in simulation and experimentation, and provide support for digital ecosystem developments. However, a successful simulation requires the appropriate implementation of a conceptual model. It is proposed that an heuristic formalism of agents, networks and environments, complements the conventional creative approach to model formulation by guiding the formulation of conceptual models via abstract components and facilitate interface with other components in a digital environment.