Preliminary considerations for a quantitative theory of networked embodied intelligence

Authors:
Fabio P. Bonsignorio
Affiliations:
Department of Mechanics, University of Genova, Genova, Italy
Venue:
50 years of artificial intelligence
Year:
2007

Citing 5
Cited 3

Multilayer feedforward networks are universal approximators

Neural Networks
On the approximate realization of continuous mappings by neural networks

Neural Networks
On the Length of Programs for Computing Finite Binary Sequences: statistical considerations

Journal of the ACM (JACM)
Cybernetics: Or Control and Communication in Animal and the Machine

Cybernetics: Or Control and Communication in Animal and the Machine
Semiotic Dynamics for Embodied Agents

IEEE Intelligent Systems

Steps to a Cyber-Physical Model of Networked Embodied Anticipatory Behavior

Anticipatory Behavior in Adaptive Learning Systems
AI in the 21st century - with historical reflections

50 years of artificial intelligence
Quantifying the evolutionary self-structuring of embodied cognitive networks

Artificial Life

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper exposes and discusses the concept of 'networked embodied cognition', based on natural embodied neural networks, with some considerations on the nature of natural collective intelligence and cognition, and with reference to natural biological examples, evolution theory, neural network science and technology results, network robotics. It shows that this could be the method of cognitive adaptation to the environment most widely used by living systems and most fit to the deployment of artificial robotic networks. Some preliminary ideas about the development of a quantitative framework are shortly discussed. On the basis of the work of many people a few approximate simple quantitative relations are derived between information metrics of the phase space behavior of the agent dynamical system and those of the cognition system perceived by an external observer.