Statecharts: A visual formalism for complex systems
Science of Computer Programming
Approaches to knowledge representation: an introduction
Intention is choice with commitment
Artificial Intelligence
Multilevel specification of real time systems
Communications of the ACM - Special issue on software engineering
Foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
Applications of distributed artificial intelligence in industry
Foundations of distributed artificial intelligence
Behavioral self-organization in lifelike 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
Toward a Rigorous Interpretation of ESML-Extended Systems Modeling Language
IEEE Transactions on Software Engineering
Supporting evolution in a multi-agent cooperative design environment
Advances in Engineering Software
Evolutionary design in a multi-agent design environment
Applied Soft Computing
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The use of agent-based systems may offer significant advantages over centralized hierarchical manufacturing systems, including distribution of control/processing and data as well as adaptable automated or semiautomated problem solving. However, simply applying any agent-based paradigm to manufacturing domains may not be enough to address the various demands of these domains. Manufacturing domains require agent-based problem solving to be flexible and tolerant of faulty information (e.g., due to faulty sensors), equipments, and communication links. These issues are addressed by research on Sensible Agents, capable of 1) Dynamic Adaptive Autonomy and 2) explicit Perspective Modeling. Dynamic Adaptive Autonomy allows Sensible Agents to change problem-solving roles during system operation to address dynamic factory floor conditions, while Perspective Models internal to a respective Sensible Agent serve to maintain knowledge about the agent itself, other agents, and the environment. The application of the Sensible Agent paradigm to a shop-floor control is demonstrated.