Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework

Authors: Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov

JAIR 2022 | Venue PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical 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.
Researcher Affiliation Academia Evana Gizzi EMAIL Department of Computer Science, Tufts University Medford, MA 02155 Lakshmi Nair EMAIL Sonia Chernova EMAIL College of Computing, Georgia Tech Atlanta, GA 30332 Jivko Sinapov EMAIL Department of Computer Science, Tufts University Medford, MA 02155
Pseudocode No No pseudocode or algorithm blocks are present. The paper describes methodologies conceptually within its framework.
Open Source Code No The paper does not provide an explicit statement about the release of its own source code for the methodology described, nor does it include a link to a code repository.
Open Datasets No This paper is a survey and framework, and does not conduct experiments or introduce new datasets, therefore it does not provide access information for a dataset used in its own contributions.
Dataset Splits No This paper is a survey and framework, and does not present experimental results requiring dataset splits for its own contributions.
Hardware Specification No This paper is a survey and framework and does not describe specific hardware used for its own research or experiments.
Software Dependencies No This paper is a survey and framework and does not specify software dependencies with version numbers for its own methodology.
Experiment Setup No This paper is a survey and framework, and therefore does not include details on experimental setup or hyperparameter values for its own contributions.