Intention is choice with commitment
Artificial Intelligence
Representing and using organizational knowledge in DAI systems
Distributed Artificial Intelligence (Vol. 2)
An overview of distributed artificial intelligence
Foundations of distributed artificial intelligence
Coordination techniques for distributed artificial intelligence
Foundations of distributed artificial intelligence
Planning in distributed artificial intelligence
Foundations of distributed artificial intelligence
Organizational intelligence and distributed artificial intelligence
Foundations of distributed artificial intelligence
Designing organizations for computational agents
Simulating organizations
An organizational ontology for enterprise modeling
Simulating organizations
Intelligent Adaptive Information Agents
Journal of Intelligent Information Systems - Special issue: adaptive intelligent agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Conflict representation and classification in a domain-independent conflict management framework
Proceedings of the third annual conference on Autonomous Agents
Constructing and dynamically maintaining perspective-based agent models in a multi-agent environment
Proceedings of the third annual conference on Autonomous Agents
Organization Self-Design of Distributed Production Systems
IEEE Transactions on Knowledge and Data Engineering
The Reorganization of Societies of Autonomous Agents
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
An Adaptive Organizational Policy for Multi Agent Systems - AASMAN
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Journal of Artificial Intelligence Research
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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Agent-based technologies can be applied to many aspects of manufacturing. The need for responsive, flexible agents is pervasive in manufacturing environments due to the complex, dynamic nature of manufacturing problems. One critical aspect of agent flexibility is the ability to adapt decision-making interactions to various situations during system operation. This issue is addressed by research on Sensible Agents, capable of Dynamic Adaptive Autonomy. In Sensible Agent-based systems, agent problem-solving roles describe the decision-making interaction styles adopted by agents. An agent's level of autonomy arises from the problem-solving role it has adopted. These levels of autonomy are defined along a spectrum ranging from command-driven, to consensus, to locally autonomous/master. Dynamic Adaptive Autonomy allows Sensible Agents to change problem-solving roles during system operation to meet the needs of a particular problem-solving situation. The foundation of Dynamic Adaptive Autonomy is the specification of these problem-solving roles. This article focuses primarily on defining four representational constructs (planning-responsibility, authority-over, commitment, and independence) that specify agent problem-solving roles.