Embodying cognition: A morphological perspective

Research output: Chapter in BookChapterResearchpeer-review

7 Citations (Scopus)

Abstract

After several decades of success in different areas and numerous effective applications, algorithmic Artificial Intelligence has revealed its limitations. If in our quest for artificial intelligence we want to understand natural forms of intelligence, we need to shift/move from platform-free algorithms to embodied and embedded agents. Under the embodied perspective, intelligence is not so much a matter of algorithms, but of the continuous interactions of an embodied agent with the real world. In this chapter we adhere to a specific reading of the embodied view usually known as enactivism, to argue that (1) It is a more reasonable model of how the mind really works; (2) It has both theoretical and empirical benefits for Artificial Intelligence and (3) Can be easily implemented in simple robotic sets like Lego Mindstorms (TM). In particular, the authors will explore the computational role that morphology can play in artificial systems. They will illustrate their ideas presenting several Lego Mindstorms robots where morphology is critical for the robot's behaviour. © 2010, IGI Global.
Original languageEnglish
Title of host publicationThinking Machines and the Philosophy of Computer Science: Concepts and Principles
Pages344-366
Number of pages22
DOIs
Publication statusPublished - 1 Dec 2010

Fingerprint Dive into the research topics of 'Embodying cognition: A morphological perspective'. Together they form a unique fingerprint.

Cite this