Models of Consciousness Conferences Courses

Quality Spaces - How to Represent Consciousness Mathematically

Explore mathematical representation of consciousness through Quality Spaces theory, examining methodology, pros and cons, and potential improvements for a comprehensive understanding of qualitative properties.

• YouTube
• 24 minutes
• Self-Paced
• Conference Talk

Brainish - Formalizing a Multimodal Language for Intelligence and Consciousness

Explores Brainish, a multimodal language for AI consciousness, building on the Conscious Turing Machine. Discusses its syntax, semantics, and implementation for advancing machine intelligence and consciousness models.

• YouTube
• 25 minutes
• Self-Paced
• Conference Talk

Information Structures and Consciousness

Exploring brain dynamics through evolving informational structures, linking to consciousness theories and providing insights into disorders of consciousness with high-precision classification.

• YouTube
• 23 minutes
• Self-Paced
• Conference Talk

Insights from the Conscious Turing Machine - A Machine Model for Consciousness

Explores puzzling phenomena of consciousness using the Conscious Turing Machine model, including pain's impact on sleep, experiences vs. simulations, illusions, dreams, and free will.

• YouTube
• 26 minutes
• Self-Paced
• Conference Talk

A Categorical Formulation of Predictive Processing and Active Inference

Categorical formulation of Predictive Processing and Active Inference using string diagrams, clarifying key concepts and enabling comparison with Integrated Information Theory.

• YouTube
• 23 minutes
• Self-Paced
• Conference Talk

Informational Models of the Phenomenon of Consciousness and the Mechanistic Project

Exploring informational models of consciousness, their methodological contributions, and limitations in guiding mechanistic research. Critiques panpsychist interpretations and discusses quantitative recharacterizations.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

Learning to Predict Requires Integrated Information

Exploring how Integrated Information Theory quantifies consciousness in neural networks and its relationship with embodied intelligence and predictive learning in AI agents.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Free Energy Minimisation for Perception as Inference

Explores predictive processing theory and free energy principle in perception, comparing Helmholtz machine and message passing approaches to neural inference and consciousness.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

Integrated Information Theory of Consciousness in Conventional Computing

Exploring how computer programs influence cause-effect structures in integrated information theory, challenging assumptions about consciousness in simulated systems.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Autodiagnosis and the Dynamical Emergence Theory of Basic Consciousness

Explores the Dynamical Emergence Theory of consciousness, proposing that basic awareness arises from a system's ability to intrinsically discern its own states through dynamic autodiagnosis.

• YouTube
• 47 minutes
• Self-Paced
• Conference Talk

A Theoretical Computer Science Perspective on Consciousness

Explore the Conscious Turing Machine model and its insights into consciousness phenomena, including blindsight, inattentional blindness, and free will.

• YouTube
• 20 minutes
• Self-Paced
• Conference Talk

Consciousness as We Know It - A View from Biology

Exploring biological consciousness through evolutionary approach, focusing on unlimited associative learning as a marker for minimal consciousness in living beings.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Conference Talk

Why Current AI and Neuroscience Fail to Explain Ancient Forms of Spatial Reasoning

Exploring limitations of AI and neuroscience in replicating spatial reasoning and mathematical consciousness, emphasizing evolutionary origins and diverse cognitive phenomena across species.

• YouTube
• 23 minutes
• Self-Paced
• Conference Talk

Information Cohomology and Probabilistic Topos for Consciousness Modeling - From Elementary Perception to Machine Learning

Explores consciousness through information theory and algebraic topology, proposing a monadic-panpsychic framework and synthesizing major consciousness models within a formal Gestalt theory.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

Moving Beyond Integration and Differentiation in Measures of Neural Dynamics

Explores new mathematical approaches to measure neural complexity, introducing O-information and a formalism for decomposing information dynamics, advancing understanding of conscious states.

• YouTube
• 24 minutes
• Self-Paced
• Conference Talk