Extensions of first order logic
Extensions of first order logic
T&Aelig;MS: a framework for environment centered analysis and design of coordination mechanisms
Foundations of distributed artificial intelligence
Communications of the ACM
SODA: societies and infrastructures in the analysis and design of agent-based systems
First international workshop, AOSE 2000 on Agent-oriented software engineering
Designing Complex Organizations
Designing Complex Organizations
Issues in Multiagent System Development
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Foundations of organizational structures in multiagent systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
A framework for formal modeling and analysis of organizations
Applied Intelligence
Verifying Interlevel Relations within Multi-Agent Systems
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
An agent architecture for ensuring quality of service by dynamic capability certification
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
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At present the agent paradigm is often used for computational modeling of human behavior in an organizational setting. However, not many of the existing computational approaches make use of a rich theoretical basis developed in social science. Therefore, often mathematically sound models are invalid in practice. This paper proposes a formal approach for modeling of characteristics and behavior of agents in organizations, diverse aspects of which are represented using an expressive formal framework. The approach is based on the theoretical findings from social science and enables analysis of how different organizational and environmental factors influence the behavior and performance of agents. The approach is illustrated by a simulation case study.