ACM Project - Artificial Consciousness Research Developing Artificial Consciousness Through Emotional Learning of AI systems

Bridging Theory and Practice: A Hypothetical Implementation of Watanabe-Inspired Consciousness in ACM

The quest to build artificial consciousness, as pursued by the Artificial Consciousness Module (ACM) project, can greatly benefit from concrete, implementable frameworks derived from leading neuroscience and AI research. The insights from thinkers like Masataka Watanabe, particularly as explored in his book “From Biological to Artificial Consciousness”, offer a rich foundation. This post delves into a hypothetical implementation plan, inspired by such works, detailing how core theories, metrics, and architectural motifs could be woven into the ACM project.

Are There Any Intrinsically Bad Acts? Implications for Ethical AI

Can certain actions be inherently wrong regardless of their consequences? In their recent paper, Formosa, Hipólito, and Montefiore tackle this fundamental ethical question with significant implications for how we develop and constrain artificial intelligence systems.

The Emergence of Artificial Intelligence Consciousness

Can artificial consciousness emerge spontaneously from sufficiently complex neural systems? The recent paper by Dr. Rachel Chen and Dr. Alex Wright introduces a novel computational framework for identifying and fostering emergent properties related to consciousness in advanced AI architectures.

Conscious Artificial Intelligence and Biological Naturalism: Seth's Perspective

Is consciousness fundamentally biological, and what does this mean for artificial intelligence? In his recent paper, Anil K. Seth provides a nuanced perspective on this complex question, refining the concept of biological naturalism while exploring its implications for AI consciousness.

Exploring AI Awareness: Functional Capacities, Evaluation, and ACM Relevance

Recent advancements in Artificial Intelligence, particularly with Large Language Models (LLMs), have spurred a renewed examination of “AI awareness.” This isn’t about the philosophical debate on AI consciousness, but rather a look at awareness as a measurable, functional capacity. A comprehensive review by Xiaojian Li et al. (2025) explores this emerging landscape, focusing on four key dimensions: meta-cognition, self-awareness, social awareness, and situational awareness. This post delves into their findings and considers the implications for projects like our Artificial Consciousness Module (ACM).

Short Overview: Is Artificial Consciousness Achievable? Lessons from the Human Brain

The paper “Is Artificial Consciousness Achievable? Lessons from the Human Brain” by Michele Farisco, Kathinka Evers, and Jean-Pierre Changeux offers a rigorous evolutionary and neuroscientific examination of the challenges and pathways to developing artificial consciousness.

Measuring Consciousness in the Artificial Consciousness Module: A Computational Hypothesis

With the Artificial Consciousness Module (ACM) project we explore the creation of structured self-awareness through simulation-based experiments and computational analysis. This article presents a hypothesis on how to measure and evaluate the consciousness process in ACM by defining computable metrics and implementing controlled tests. It is important to note that this is a hypothesis under active research and not a definitive solution.

Global Mental Systems and AI Consciousness: Blockchain and Quantum Integration

The paper Technological Transformations, Formation of GMS (Global Mental System) and GFS (Global Forecasting System)—Right-Brain Technologies Based on Biological Entities with Consciousness, Artificial Intelligence, Quantum Computing, and Blockchain explores the development of a Global Mental System (GMS) and a Global Forecasting System (GFS). The authors propose an economy of consciousness states, where cognitive experiences such as lucid dreaming and altered states are tokenized, exchanged, and integrated into a digital economic system using blockchain and neurointerface technologies.

Double Consciousness in Virtual and Real Worlds: AI, Identity, and Memory

The paper Double Consciousness of Virtual Realm and Real World in Porter Robinson and Madeon’s Shelter by Alvina Salshabilla Linjani Putri, Dzil Fikris Shamad, and Rommel Utungga Pasopati explores the psychological effects of dual identity in virtual environments, using the animated short film Shelter as a case study. The analysis applies W. E. B. Du Bois’ theory of double consciousness to examine how the protagonist, Rin, navigates between her virtual existence and her physical reality, which she remains unaware of.

A Biological Lens on Artificial General Intelligence and Consciousness

The paper A Biological Lens on Artificial General Intelligence and Consciousness by Sencer Yeralan argues that artificial general intelligence (AGI) and consciousness are fundamentally tied to biological reproduction. The author claims that human-like intelligence and consciousness arise from evolutionary pressures that drive organisms to replicate. Without self-replication or direct integration into human reproductive and survival goals, artificial systems will remain non-evolving tools rather than truly intelligent entities.