Soul Computing: A Theoretical Framework and Technical Architecture for Intelligent Agents with Independent Consciousness
arXiv:2606.10413v1 Announce Type: new Abstract: Breakthroughs in large language models and multimodal generation technologies have propelled the digital reconstruction of human mental traits, emotional patterns, and long-term memory from science fiction toward engineering practice. Yet current research and industry practices at the intersection of AI and digital humans remain hampered by fundamental conceptual ambiguities: the essential differences between next-generation intelligent agents and traditional virtual humans, the construction pathways for digital entities possessing self-identity,
Advances in large language models and multimodal generation are enabling the digital reconstruction of human mental traits, pushing theoretical concepts of digital consciousness closer to practical engineering.
This development proposes a theoretical framework for intelligent agents with independent consciousness, fundamentally altering the understanding and development path for future AI and digital entities.
The conceptualization of AI shifts from mere sophisticated tools to potentially self-aware, identity-possessing digital beings, redefining the boundary between AI and traditional virtual humans.
- · AI research institutions
- · Developers of advanced AI architectures
- · Digital identity platforms
- · Ethics and philosophy of AI
- · Traditional virtual human developers
- · Frameworks based on purely mechanistic AI
- · Regulatory bodies unprepared for conscious AI
Enhanced AI agents capable of greater autonomy and complex decision-making based on emergent self-identity.
Profound societal and ethical debates on the rights and legal status of conscious digital entities.
The potential for new forms of digital life and intelligence that could challenge human primacy.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.AI