Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Continual planning and acting in dynamic multiagent environments
Autonomous Agents and Multi-Agent Systems
Enacting and deacting roles in agent programming
AOSE'04 Proceedings of the 5th international conference on Agent-Oriented Software Engineering
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An increasing concern about urban environmental quality has grown in the last decades caused by urban production mechanisms. Now, policies and ICT models need to integrate traditional quantitative techniques with more complex multiagent tools to support effective recovery strategies. Basing on a hybrid scenario approach, the present research links information and knowledge aspects to define sequences of events and processes for decisionmaking. An ICT-based model is set up, involving human agents, lowprofile artificial (routinary) agents and/or high profile (intelligent) agents, as defined by computer-science and multi-agent studies. Particularly, the paper focuses on the case study of Bari, Italy, addressing multi-agent-based relationships between urban microclimatic and social characters.