SOAR: an architecture for general intelligence
Artificial Intelligence
Minimalist mobile robotics: a colony-style architecture for an artificial creature
Minimalist mobile robotics: a colony-style architecture for an artificial creature
Theory of Mind for a Humanoid Robot
Autonomous Robots
Semiotic schemas: a framework for grounding language in action and perception
Artificial Intelligence - Special volume on connecting language to the world
An extensible language interfacefor robot manipulation
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
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AI has many techniques and tools at its disposal, yet seems to be lacking some special “juice” needed to create a true being. We propose that the missing ingredients are a general theory of motivation and an operational understanding of natural language. The motivation part comes largely from our animal heritage: a real-world agent must continually respond to external events rather than depend on perfect modeling and planning. The language part, on the other hand, is what makes us human: competent participation in a social group requires one-shot learning and the ability to reason about objects and activities that are not present or on-going. In this paper we propose an architecture for self-motivation, and suggest how a language interpreter can be built on top of such a substrate. With the addition of a method for recording and internalizing dialog, we sketch how this can then be used to impart essential cultural knowledge and behaviors.