Creative Problem Solving in Artificially Intelligent Agents: A Survey
and Framework
- URL: http://arxiv.org/abs/2204.10358v1
- Date: Thu, 21 Apr 2022 18:31:44 GMT
- Title: Creative Problem Solving in Artificially Intelligent Agents: A Survey
and Framework
- Authors: Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov
- Abstract summary: Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI)
We present a definition and a framework of CPS, which we adopt to categorize existing AI methods in this field.
Our framework consists of four main components of a CPS problem, namely, problem formulation, knowledge representation, method of knowledge manipulation, and method of evaluation.
- Score: 20.51422185398759
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence
(AI) that focuses on methods for solving off-nominal, or anomalous problems in
autonomous systems. Despite many advancements in planning and learning,
resolving novel problems or adapting existing knowledge to a new context,
especially in cases where the environment may change in unpredictable ways post
deployment, remains a limiting factor in the safe and useful integration of
intelligent systems. The emergence of increasingly autonomous systems dictates
the necessity for AI agents to deal with environmental uncertainty through
creativity. To stimulate further research in CPS, we present a definition and a
framework of CPS, which we adopt to categorize existing AI methods in this
field. Our framework consists of four main components of a CPS problem, namely,
1) problem formulation, 2) knowledge representation, 3) method of knowledge
manipulation, and 4) method of evaluation. We conclude our survey with open
research questions, and suggested directions for the future.
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