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SYSTEMS, MODELS AND SELF-AWARENESS: TOWARDS ARCHITECTURAL MODELS OF CONSCIOUSNESS

Ricardo Sanz, Carlos Hernández, Jaime Gómez, Julita Bermejo–Alonso, Manuel Rodríguez, Adolfo Hernando, M. Guadalupe Sánchez-Escribano

International Journal of Machine Consciousness December 1, 2009 DOI: 10.1142/s1793843009000359 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Citations 9
Key points Argues that the lack of a well-established theory of consciousness is a major obstacle to building machines with consciousness-related functionalities, and proposes a model-based strategy to increase the rigor of consciousness theorization and its mapping into technical systems within the ASys project's goal of engineering self-aware autonomous systems.

Abstract

The lack of a well established theory of consciousness is a major difficulty in the construction of machines that express some of the functionalities associated to them. The ASys long term project intends the construction of assets for engineering any-scale, self-aware autonomous systems. A core element in this effort is the proposal of an architecture for consciousness of general applicability. In this article we analyze some of the current problems present in the construction of machines based on cognitive models and propose a model-based strategy to enhance the rigor of the theorization on consciousness and its mapping into realizations in technical systems.

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