A competence framework for artificial intelligence research. (4th July 2019)

• Record Type: Journal Article
• Authors: Miracchi, Lisa
• Is Part Of: Philosophical psychology. Volume 32:Number 5(2019)
• Page Start: 588
• Page End: 633
• Publication Date: 2019-07-04
• Subjects: Artificial intelligence -- competence -- reduction -- computation -- robotics -- mind -- action -- emergence -- embodiment; Psychology -- Philosophy -- Periodicals; Philosophy -- Periodicals; Psychology -- Methodology -- Periodicals; 150.1
• DOI: 10.1080/09515089.2019.1607692
• Languages: English
• ISSNs: 0951-5089

Abstract

ABSTRACT: While over the last few decades AI research has largely focused on building tools and applications, recent technological developments have prompted a resurgence of interest in building a genuinely intelligent artificial agent – one that has a mind in the same sense that humans and animals do. In this paper, I offer a theoretical and methodological framework for this project of investigating "artificial minded intelligence" (AMI) that can help to unify existing approaches and provide new avenues for research. I first outline three desiderata that a framework for AMI research should satisfy. In Section 1, I further motivate the desiderata as well as the need for a new framework. Section 2 develops a general methodological approach, the "generative methodology, " and Section 3 develops a version of this methodology, the "Competence Framework for AI research" (CFAI).