Stochastic simulation
Denotational semantics for agent communication language
Proceedings of the fifth international conference on Autonomous agents
An approach to the analysis and design of multiagent systems based on interaction frames
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
An analysis of agent speech acts as institutional actions
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
A Social Semantics for Agent Communication Languages
Issues in Agent Communication
Semantics for an Agent Communication Language
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Expectation-Oriented Analysis and Design
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
Empirical-Rational Semantics of Agent Communication
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Engineering Applications of Artificial Intelligence
A schema for specifying computational autonomy
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
Multi-Agent-Based Simulation VIII
Engineering Applications of Artificial Intelligence
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It is widely accepted in Distributed Artificial Intelligence that a crucial property of artificial agents is their autonomy. Whereas agent autonomy enables features of agent-based applications like flexibility, robustness and emergence of novel solutions, autonomy might be also the reason for undesired or even chaotic agent behavior, and unmanageable system complexity. As a conceptual approach to the solution for this “autonomy dilemma” of agent-based software engineering, this work introduces the HolOMAS framework for open multiagent systems based on special meta-agents, so-called Mirror-Holons. Instead of restricting agent autonomy by means of normative constraints and defined organizational structures as usual, Mirror-Holons allow for the gradual uncoupling of agent interaction and emergent system functionality. Their main purpose is the derivation and adaption of social structure knowledge and evolving stochastical social programs from the observation and compilation of agent communication and additional design objectives. Social programs can either be executed by the Mirror-Holons themselves, or communicated to the agents and the system designer, similar to the functionality of mass media like television or newspapers in human societies.