Intelligence without representation
Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
From design to intention: signs of a revolution
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Standardizing Agent Communication
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
Commitments Among Autonomous Agents in Information-Rich Environments
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
A Formal Model for Situated Multi-Agent Systems
Fundamenta Informaticae - Multiagent Systems (FAMAS'03)
Modeling adaptive autonomous agents
Artificial Life
Calibrating collective commitments
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Regional synchronization for simultaneous actions in situated multi-agent systems
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Decentralized control of E'GV transportation systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Architectural design of a distributed application with autonomic quality requirements
DEAS '05 Proceedings of the 2005 workshop on Design and evolution of autonomic application software
Gradient field-based task assignment in an AGV transportation system
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An Architectural Strategy for Self-Adapting Systems
SEAMS '07 Proceedings of the 2007 International Workshop on Software Engineering for Adaptive and Self-Managing Systems
A Framework for Situated Multiagent Systems
Software Engineering for Multi-Agent Systems V
A reference architecture for situated multiagent systems
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Architecture-centric software development of situated multiagent systems
ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII
Architecture-Centric development of an AGV transportation system
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Applying the ATAM to an architecture for decentralized control of a transportation system
QoSA'06 Proceedings of the Second international conference on Quality of Software Architectures
A design process for adaptive behavior of situated agents
AOSE'04 Proceedings of the 5th international conference on Agent-Oriented Software Engineering
Integrating free-flow architectures with role models based on statecharts
Software Engineering for Multi-Agent Systems III
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
Exploiting a virtual environment in a real-world application
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
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In this paper we introduce a model for direct communication in situated multi-agent systems. Direct communication is typically associated with cognitive agents, where the information encoded in the messages is related to a mental state. This generally assumed view on communication however, does not fit the approach of situated, behavior-based agents. We propose a protocol-based communication model for situated agents. Communication specified in terms of protocols, i.e. well-defined sequences of messages, shifts the focus of communication from the reasoning upon messages towards the relationship between the exchanged messages. The model decomposes communication into three functional modules: message decoding, communicating and message encoding. The core of the model, the communicating module (1) interprets decoded messages and reacts to them in accordance with the applicable protocol, and (2) initiates or continues conversations when the conditions imposed by the applicable protocol are satisfied.