How Intelligent is your Intelligent Robot?
Alan F. T. Winfield

TL;DR
This paper proposes a framework for assessing robot intelligence by identifying four types of intelligence, using a star diagram for comparison with animals, and exploring ways to quantify these intelligence aspects.
Contribution
It introduces a novel four-axis model of embodied intelligence and a diagrammatic method for comparing and quantifying intelligence in robots and animals.
Findings
Robots exhibit a significant intelligence deficit compared to animals.
A star diagram effectively visualizes different intelligence types.
Quantitative measures for the four intelligence types are proposed.
Abstract
How intelligent is robot A compared with robot B? And how intelligent are robots A and B compared with animals (or plants) X and Y? These are both interesting and deeply challenging questions. In this paper we address the question "how intelligent is your intelligent robot?" by proposing that embodied intelligence emerges from the interaction and integration of four different and distinct kinds of intelligence. We then suggest a simple diagrammatic representation on which these kinds of intelligence are shown as four axes in a star diagram. A crude qualitative comparison of the intelligence graphs of animals and robots both exposes and helps to explain the chronic intelligence deficit of intelligent robots. Finally we examine the options for determining numerical values for the four kinds of intelligence in an effort to move toward a quantifiable intelligence vector.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsModular Robots and Swarm Intelligence · Computability, Logic, AI Algorithms · Robotics and Automated Systems
