AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Determining When to Use an Agent-Oriented Software Engineering Paradigm
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Modularity and design in reactive intelligence
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A multi-agent intelligent environment for medical knowledge
Artificial Intelligence in Medicine
Integrating multi-agents in a 3D serious game aimed at cognitive stimulation
Proceedings of the 2011 international conference on Virtual and mixed reality: systems and applications - Volume Part II
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The growing complexity of modern systems is demanding more and more time from software designers and developers. The challenge of constructing complex systems is complicated by the geographic distribution of the systems. An agent oriented paradigm reinforces the software flexibility and the agent's social possibilities, taking space as a solution in software engineering. The idea of independent and autonomous entities capable of relating in the search of the system goals originated the multi-agent systems, where at least two agents are capable of interaction. Such systems possess great applicability in different knowledge areas, as for example, in Education. This work defines an Education Multi-Agent System, which is a learning education environment with multi-agents. The system aims at helping the teaching process on a specific topic. The system agents were modeled using the MaSE (Multi-Agent System Engineering) method.