Managing the software process
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Cleanroom software engineering: technology and process
Cleanroom software engineering: technology and process
SODA: societies and infrastructures in the analysis and design of agent-based systems
First international workshop, AOSE 2000 on Agent-oriented software engineering
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Single-model method for specifying multi-agent systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Software Design
Agent Technology from a Formal Perspective (NASA Monographs in Systems and Software Engineering)
Agent Technology from a Formal Perspective (NASA Monographs in Systems and Software Engineering)
Prometheus: a methodology for developing intelligent agents
AOSE'02 Proceedings of the 3rd international conference on Agent-oriented software engineering III
ADELFE: a methodology for adaptive multi-agent systems engineering
ESAW'02 Proceedings of the 3rd international conference on Engineering societies in the agents world III
Environments for multiagent systems state-of-the-art and research challenges
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
An architecture for MAS simulation environments
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Simulated event propagation in distributed, open environments
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
An interface for agent-environment interaction
ProMAS'10 Proceedings of the 8th international conference on Programming Multi-Agent Systems
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In this paper, we discuss a way to model Agent-Environment interactions in adaptive multi-agent systems. We describe the interactions at various levels of abstraction starting with the highest. For each level, we specify the interactions from four viewpoints functional, behavioral, dataand structural. This results into a set of models that capture the main properties of agent-environment interactions.