Planning as search: a quantitative approach
Artificial Intelligence
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
PLACA, an agent oriented programming language
PLACA, an agent oriented programming language
AI Magazine
Fast planning through planning graph analysis
Artificial Intelligence
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
Readings in agents
Evolution and learning in multiagent systems (preface)
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
Extending Graphplan to handle uncertainty and sensing actions
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems
RoboCop: today and tomorrow-what we have learned
Artificial Intelligence - Special issue on Robocop: the first step
Building agent teams using an explicit teamwork model and learning
Artificial Intelligence - Special issue on Robocop: the first step
Agent-oriented software engineering for Internet agents
Coordination of Internet agents
An Behavior-based Robotics
Robo Sapiens: Evolution of a New Species
Robo Sapiens: Evolution of a New Species
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
AMET '98 Selected Papers from the First International Workshop on Agent Mediated Electronic Trading on Agent Mediated Electronic Commerce
Temporal Planning with Mutual Exclusion Reasoning
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Probabilistic Planning in the Graphplan Framework
ECP '99 Proceedings of the 5th European Conference on Planning: Recent Advances in AI Planning
How Can an Agent Learn to Negotiate?
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
A distributed control architecture for a purposive computer vision system
IJSIS '96 Proceedings of the 1996 IEEE International Joint Symposia on Intelligence and Systems
Learning in multi-agent systems
The Knowledge Engineering Review
Integrating Pedagogical Agents into Virtual Environments
Presence: Teleoperators and Virtual Environments
Robots with the best of intentions
Artificial intelligence today
International Journal of Intelligent Systems Technologies and Applications
Social behavior model for human-machine collaboration systems
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
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This article is a reflection on agent-based AI. My contention is that AI research should focus on interactive, autonomous systems, that is, agents. Emergent technologies demand so. We see how recent developments in (multi-) agent-oriented research have taken us closer to the original AI goal, namely, to build intelligent systems of general competence. Agents are not the panacea though. I point out several areas such as design description, implementation, reusability, and security that must be developed before agents are universally accepted as the AI of the future.