14 Jan 2025
The Artificial Consciousness Module (ACM) project seeks to explore how emotional complexity might emerge in artificial systems. Inspired by evolutionary principles, the goal is to replicate the gradual progression of emotions, starting from survival instincts and advancing to higher-order social interactions. Jaak Panksepp’s mapping of affective systems across mammals shows how layered instincts create reliable motivational scaffolding, and Joseph E. LeDoux’s analysis of cortical-limbic circuits demonstrates the importance of routing each stimulus through both rapid survival loops and slower appraisal networks. The ACM roadmap mirrors those neurobiological findings by sequencing synthetic emotions from reflexive reactions to reflective regulation.
08 Jan 2025
The idea behind this article is to show how generative AI and emotional tags can make the Artificial Consciousness Module feel more human-like. This approach collects emotional cues during simulations and uses them later to guide the AI’s decisions and outputs. By referencing these emotional connections, the AI can produce imaginative outcomes that are shaped by past experiences.
07 Jan 2025
In the Artificial Consciousness Module (ACM) we take the approach to developing synthetic awareness by focusing on emotional memory formation through survival-driven experiences. This article explores how the ACM creates and maintains consciousness through a process of emotional learning and memory formation, echoing the mechanisms of stress-linked encoding documented by Larry Cahill and James L. McGaugh in their seminal analysis of emotional arousal and declarative memory consolidation.
06 Jan 2025
The idea of how we’re using emotional reinforcement learning in the Artificial Consciousness Module (ACM) to develop synthetic awareness. Building on work done in projects like Omni-Epic, we’ve been exploring the idea: what if consciousness-like behaviors could emerge naturally through repeated emotional interactions between humans and AI agents in controlled environments?
03 Jan 2025
Understanding how neural networks function to produce extremely realistic outputs is rooted in their ability to manage even the smallest details. Through vectorization, recognizing complex patterns, and identifying relationships across enormous datasets, these systems can determine every pixel of a high-resolution image with stunning precision. While we could list countless techniques and models created with deep learning, the most important realization is that inorganic systems are now capable of understanding, navigating, and responding within what we call our reality.
27 Dec 2024
The Artificial Consciousness Module (ACM) approaches consciousness as an emergent property developed through iterative learning and emotional processing. This technical overview explains how the ACM framework builds consciousness-like behaviors through structured simulations and emotional memory formation.
15 Dec 2024
The concept of consciousness has fascinated thinkers for centuries, inspiring diverse theories across philosophy, neuroscience, and artificial intelligence. These theories attempt to unravel the mysteries of subjective experience and the mind’s relationship with the material world. This post explores some key perspectives on consciousness, offering insights into its complex and multifaceted nature.
12 Dec 2024
Exploring artificial consciousness isn’t a straight forward journey. A bit of a complex adventure that weaves together insights from philosophy, neuroscience, and artificial intelligence. As part of our ongoing Artificial Consciousness Module (ACM) project, here a list of books that shed light on this fascinating field and helps us and maybe you too to understand how to approach this goal.
06 Dec 2024
Consciousness represents a complex and multifaceted concept that has challenged intellectual understanding across cultures, philosophical traditions, and scientific disciplines. While definitions vary widely, the fundamental inquiry remains consistent: What constitutes the nature of subjective experience and self-awareness?
21 Nov 2024
The question of how to measure or confirm artificial consciousness (AC) remains one of the most profound challenges in AI research, combining philosophy, neuroscience, and engineering. While definitive answers are elusive, speculative approaches based on emerging theories and methodologies paint a compelling picture of what might be possible.
