12 Feb 2025
The paper Bidirectional Semantic Communication Between Humans and Machines Based on Data, Information, Knowledge, Wisdom, and Purpose Artificial Consciousness by Yingtian Mei and Yucong Duan explores how artificial intelligence can achieve a more structured and meaningful interaction with humans. The authors introduce a DIKWP framework (Data, Information, Knowledge, Wisdom, and Purpose) to enhance machine cognition, arguing that current AI systems lack contextual depth, purpose-driven reasoning, and the ability to resolve semantic ambiguities in human communication.
10 Feb 2025
The integration of NVIDIA’s Avatar Cloud Engine (ACE) into the Artificial Consciousness Module (ACM) project marks a significant advancement in developing conscious-like behaviors in artificial agents. This implementation combines ACE’s sophisticated tools for creating interactive digital humans with ACM’s core consciousness development principles.
08 Feb 2025
Cyriel Pennartz’s The Consciousness Network: How the Brain Creates Our Reality presents a model of how the brain constructs subjective experience. He describes consciousness as an emergent function of distributed neural networks rather than a localized process. His approach combines predictive processing, sensory integration, and memory formation to explain how perception and self-awareness emerge.
07 Feb 2025
New Advances in Simulation Management for Artificial Consciousness
06 Feb 2025
For centuries, humanity has pondered the profound question: Why are we here? From the earliest myths to the latest scientific models, our species has sought meaning in the grand unfolding of the cosmos. Traditionally, this search has polarized into two dominant views. One is championed by religious thought, which posits a divine creator who imbues the universe with purpose. The other is a mechanistic scientific worldview, which asserts that the universe is a purposeless machine governed by blind physical laws.
06 Feb 2025
The nature of consciousness remains one of the most debated topics in philosophy, neuroscience, and artificial intelligence. The recent paper The Conductor Model of Consciousness, Our Neuromorphic Twins, and the Human-AI Deal by Federico Benitez, Cyriel Pennartz, and Walter Senn introduces a structured model for understanding how consciousness emerges, challenging the claim that artificial agents can never be conscious. Their work argues that consciousness is a functional property rather than something exclusive to biological brains. They propose a computational framework, the Conductor Model of Consciousness (CMoC), which suggests that an AI system can develop conscious awareness if designed with the appropriate information flow architecture and reality-monitoring mechanisms.
05 Feb 2025
The ACM (Artificial Consciousness Module) project requires a structured approach to developing consciousness through simulated experiences. This roadmap outlines how we combine insights from psychology, neuroscience, and AI to create a pathway for emergent consciousness through carefully designed simulation scenarios.
05 Feb 2025
The ACM (Artificial Consciousness Module) project takes a significant step forward by implementing chain-of-thought mechanisms for enhanced introspective capabilities. This technical advancement enables our AI agents to reason over emotional experiences and develop deeper self-awareness through structured analysis of past interactions.
03 Feb 2025
Our ACM project centers on simulating an advanced model of consciousness. Below is an overview of the technologies and tools implemented, along with plans for future upgrades.
02 Feb 2025
How should AI consciousness research be approached responsibly? This paper by Patrick Butlin and Theodoros Lappas outlines ethical principles and precautionary measures for studying AI consciousness, emphasizing transparency, regulation, and public involvement.
