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Sep 4, 2024 · In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning.
In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning.
GIPO assists in the knowledge formulation of planning domains, and in prototyping planning problems within these domains. GIPO features mixed-initiative ...
This paper outlines the basis of the main tools of GIPO, an environment to support knowledge acquisition for AI Planning, and shows how an engineer might ...
In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning.
In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning.
Feb 21, 2024 · The best way to prepare content for AI is to develop a content strategy that addresses the relationships, the structure, the clean up, and the componentization ...
GIPO assists in the knowledge formulation of planning domains, and in prototyping planning problems within these domains. GIPO features mixed-initiative ...
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This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling ...
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Robust AI systems need to be able to reason about their goals and formulate new goals based on the given sit- uation. Case-based goal formulation is a ...