Self-improving reactive agents: case studies of reinforcement learning frameworks
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Alternative essences of intelligence
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Designing Sociable Robots
Theory of Mind for a Humanoid Robot
Autonomous Robots
Software Agents and Their Bodies
Minds and Machines
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
On Intelligence
The Ouroboros Model in the light of venerable criteria
Neurocomputing
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There are a wide variety of approaches to Artificial Intelligence. Yet interestingly we find that these can all be grouped into four broad categories: Silver Bullets, Core Values, Emergence, and Emulation. We will explain the methodological underpinnings of these categories and give examples of the type of work being pursued in each. Understanding this spectrum of approaches can help defuse arguments between practitioners as well as elucidate common themes.