Cognitive Design for Artificial Minds

by Antonio Lieto

Overview

Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science.

Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration.

Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science.

Product Details

ISBN-13:	9781138207929
Publisher:	Taylor & Francis
Publication date:	04/01/2021
Pages:	136
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Antonio Lieto is a researcher in Artificial Intelligence at the Department of Computer Science of the University of Turin, Italy, and a research associate at the ICAR-CNR in Palermo, Italy. He is the current Vice-President of the Italian Association of Cognitive Science (2017–2022) and an ACM Distinguished Speaker on the topics of cognitively inspired AI and artificial models of cognition.

Table of Contents

1 Cognitive science and artificial intelligence: death and rebirth of a collaboration

When Cognitive Science was AI

From the general problem-solver to the society of mind: cognitivist insights from the early AI era

Heuristics and AI eras

Modelling paradigms and AI eras: cognitivist and emergentist perspectives

Death and rebirth of a collaboration

2 Cognitive and machine-oriented approaches to intelligence in artificial systems

Nature- vs. machine-inspired approaches to artificial systems

Functionalist vs. structuralist design approaches

Levels of analysis of computational systems

The space of cognitive systems

Functional and structural neural systems

Functional and structural symbolic systems

3 Principles of the cognitive design approach

Classical, bounded, and bounded-rational models of cognition

Resource-rationality models

Kinds of explanations

Levels of plausibility and the minimal cognitive grid (MCG)

4 Examples of cognitively inspired systems and application of the Minimal Cognitive Grid

Modern AI systems: cognitive computing?

Cognitive architectures

SOAR

ACT-R

Two problems for the knowledge level in cognitive architectures

Knowledge size and knowledge heterogeneity in SOAR and ACT-R

DUAL PECCS

5 Evaluating the performances of artificial systems

"Thinking" machines and Turing Test(s)

The Chinese Room

The Newell test for a theory of cognition

The Winograd Schema Challenge

DARPA challenges, RoboCup, and RoboCup@Home

Comparison

6 The next steps

The road travelled

The way forward

Towards a standard model of mind/common model of cognition

Community