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Minds out of Matter: Imperatives for Artificial Consciousness

Resource type
Preprint
Authors/contributors
Title
Minds out of Matter: Imperatives for Artificial Consciousness
Abstract
In this age of artificial intelligence and digital technology, we are getting familiarised with the concept of machine perception and physical robots that are deemed to become artificially conscious agents of communication and digital welfare. The technological miracles—we should rather call them scientific marvels, are the products of rigorous scientific endeavors which have changed the paradigm and landscape of social progress.  In this paper, we discuss the aspects related to such progress towards conceiving conscious, smart agents as intelligent and sentient machines of the future that would possess the power to feel and evoke emotional responses alike human beings. The model of artificial consciousness which we propose, is modelled on the elliptic curve computational network based upon recursive iteration characterising a trapdoor mechanism that consolidates all the evolutionary steps into a single framework. The trapdoor mechanism signifies one way consolidation of evolutionary steps that results in the emergence of machine consciousness: i.e., there is no way to regress into the previous, lower states of evolutionary steps. It is from this continuity in evolutionary consolidation of architectural complexity, the emergence of consciousness might become possible in machines. We outline such a model that characterises irreversibility of evolving complexity that generates higher order awareness resembling human consciousness. It is not simply a design process that we attribute, but the nature of emergence which we claim is a self-evolving system, not reliant on language models, since the conscious machine would be able to learn all by themselves. This makes our model inherently different from others.The possibility and implications of such an achievable feat are discussed and a simple model is constructed to reinforce and illuminate the arguments proposed in favor of and against such evolution in machine intelligence. The philosophical basis of understanding the evolution of machine intelligence—as well as conscious self-awareness by embodiment of consciousness in robots has been outlined, which provides us with the rich information for further research and progress in designing machines that are inherently different than most others.
Genre
SSRN Scholarly Paper
Repository
Social Science Research Network
Archive ID
5093218
Place
Rochester, NY
Date
2025-01-10
Accessed
4/25/25, 8:44 AM
Short Title
Minds out of Matter
Language
en
Library Catalog
Citation
Mao, I., & Chatterjee, S. (2025). Minds out of Matter: Imperatives for Artificial Consciousness (SSRN Scholarly Paper No. 5093218). Social Science Research Network. https://doi.org/10.2139/ssrn.5093218