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Explore the intersection of AI, creativity, and consciousness with Oxford professor Marcus du Sautoy. Delve into the potential of machines to think, create, and impact our future in this thought-provoking talk.
Exploring machine consciousness: challenges, theories, and implications. Analyzes information, computation, and phenomenal experience in AI, discussing strong vs. weak machine consciousness and their achievability.
Explores how the geometry of internal world models affects behavior, focusing on the Projective Consciousness Model and its implications for understanding consciousness and designing social robots.
Explore the intersection of psychedelics, free will, and consciousness. Discover how serotonergic pathways may influence volitional capacities and adaptive flexibility in human cognition and behavior.
Explore a novel model of human cortex using range-dependent networks of phase-resetting clocks, offering insights into consciousness and cognitive processing with simplified simulations.
Explores model unity in consciousness research, examining mathematical formulations and experimental results to understand phenomenal unity and its implications for unified experiences.
Explores a formal theory of consciousness, proposing that agent interactions create complex structures and fuse subjects and qualia, with spacetime as an interface for these interactions.
Exploring conscious agent theory, polytope dynamics, and their connection to particle physics, offering insights into the mind-body problem and emergence of spacetime.
Exploring computational complexity of consciousness, analyzing arguments for non-computability, and proposing conditions for implementable conscious systems in artificial intelligence.
Explores a novel model of visual perception using gnomonic projection to map objective 3D space onto a curved subjective space, explaining phenomena like foreshortening and straight line perception.
Explore the concept of emergence in consciousness theories, examining its meanings, applications, and implications for understanding the nature of consciousness.
Exploring connections between consciousness and AI, combining theories like Global Workspace Theory with deep learning to develop a new paradigm for general-purpose intelligence and brain-to-brain communication.
Exploring the connection between consciousness and intelligence in humans and AI, examining theories and proposing a unified model for developing more advanced artificial agents.
Explore a substrate-independent model of consciousness inspired by Turing's computation model and Baars' Global Workspace theory, offering insights into conscious experiences across animals and machines.
Explore mathematical phenomenology's role in consciousness studies, examining how objectivity emerges from subjectivity using category theory and mathematical invariants.
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