You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Information, Computation, Cognition. Agency-Based Hierarchies of Levels.

Note:

http://www.idt.mdh.se/%7Egdc/work/Ch10_Pt-AI-GDC.pdf

Research group:


Publication Type:

Book chapter

Venue:

FUNDAMENTAL ISSUES OF ARTIFICIAL INTELLIGENCE

Publisher:

Springer

DOI:

10.1007/978-3-319-26485-1_10


Abstract

This paper connects information with computation and cognition via concept of agents that appear at variety of levels of organization of physical/chemical/cognitive systems – from elementary particles to atoms, molecules, life-like chemical systems, to cognitive systems starting with living cells,up toorganisms and ecologies.In order to obtain this generalized framework, concepts of information, computation and cognition are generalized. In this framework, nature can be seen as informational structure with computational dynamics, where an (info-computational) agent is needed for the potential information of the world to actualize. Starting from the definition of information as the difference in one physical system that makes a difference in another physical system – which combines Bateson and Hewitt’s definitions, the argument is advanced for natural computation as a computational model of the dynamics of the physical world, where information processing is constantly going on, on a variety of levels of organization. This setting helps us to elucidate the relationships between computation, information, agency and cognition, within the common conceptual framework, with special relevance for biology and robotics.

Bibtex

@incollection{Dodig-Crnkovic4371,
author = {Gordana Dodig-Crnkovic},
title = {Information, Computation, Cognition. Agency-Based Hierarchies of Levels. },
note = {http://www.idt.mdh.se/{\%}7Egdc/work/Ch10{\_}Pt-AI-GDC.pdf},
editor = {Vincent M{\"u}ller},
volume = {377},
month = {August},
year = {2016},
booktitle = {FUNDAMENTAL ISSUES OF ARTIFICIAL INTELLIGENCE},
publisher = {Springer},
url = {http://www.es.mdh.se/publications/4371-}
}