A Requirements-Driven Development Methodology
CAiSE '01 Proceedings of the 13th International Conference on Advanced Information Systems Engineering
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
A survey of software infrastructures and frameworks for ubiquitous computing
Mobile Information Systems
The Agent Modeling Language - AML: A Comprehensive Approach to Modeling Multi-Agent Systems (Whitestein Series in Software Agent Technologies and Autonomic Computing)
A platform-independent metamodel for multiagent systems
Autonomous Agents and Multi-Agent Systems
Editorial: Hybrid learning machines
Neurocomputing
Agent oriented software engineering with INGENIAS
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Editorial: Hybrid intelligent algorithms and applications
Information Sciences: an International Journal
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Currently there are many intelligent agent models in different design methodologies, from simple models of embedded agents to powerful and complex models for virtual organizations. However, although many of these agent models provide a number of components to solve different types of problems, few of them provides abstractions or concepts that allow to consider how to deal with dynamic environments at the design level, (an environment that changes itself in terms of resources available, global behavioural rules, etc.) In this work, we propose two abstractions that provide the developer with a new way of modeling reactive agent capabilities in dynamic environments. The first abstraction focuses on how to process the environmental stimuli as events, and the second abstraction specifies how to launch tasks in response to events, an approach that is based on event-condition-action rules.