Consciousness, Action Selection, Meaning and Phenomenic Anticipation

Sanz Bravo, Ricardo and Hernández Corbato, Carlos and Sánchez Escribano, María Guadalupe (2012). Consciousness, Action Selection, Meaning and Phenomenic Anticipation. "International Journal of Machine Consciousness", v. 4 (n. 2); pp. 383-399. ISSN 1793-8430. https://doi.org/10.1142/S1793843012400227.

Description

Title: Consciousness, Action Selection, Meaning and Phenomenic Anticipation
Author/s:
  • Sanz Bravo, Ricardo
  • Hernández Corbato, Carlos
  • Sánchez Escribano, María Guadalupe
Item Type: Article
Título de Revista/Publicación: International Journal of Machine Consciousness
Date: 2012
ISSN: 1793-8430
Volume: 4
Subjects:
Freetext Keywords: Consciousness; meaning; phenomenology; artificial systems; requirements-driven engineering Consciousness; meaning; phenomenology; artificial systems; requirements-driven engineering
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: None

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Abstract

Phenomenal states are generally considered the ultimate sources of intrinsic motivation for autonomous biological agents. In this article, we will address the issue of the necessity of exploiting these states for the design and implementation of robust goal-directed artificial systems. We will provide an analysis of consciousness in terms of a precise definition of how an agent "understands" the informational flows entering the agent and its very own action possibilities. This abstract model of consciousness and understanding will be based in the analysis and evaluation of phenomenal states along potential future trajectories in the state space of the agents. This implies that a potential strategy to follow in order to build autonomous but still customer-useful systems is to embed them with the particular, ad hoc phenomenality that captures the system-external requirements that define the system usefulness from a customer-based, requirements-strict engineering viewpoint.

More information

Item ID: 14360
DC Identifier: http://oa.upm.es/14360/
OAI Identifier: oai:oa.upm.es:14360
DOI: 10.1142/S1793843012400227
Official URL: http://www.worldscientific.com/doi/abs/10.1142/S1793843012400227
Deposited by: Ricardo Sanz
Deposited on: 25 Jan 2013 09:01
Last Modified: 16 Mar 2017 17:15
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