Embodied Cognition in Digital Environments: Beyond Input-Output Models
Exploring how AI systems can develop spatial awareness and contextual understanding within digital environments, moving beyond traditional processing models toward true embodied intelligence.
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A Unified Framework for a Dynamically Embodied, Multimodal AI Agent
This paper proposes a unified theoretical and practical framework for constructing AI agents that are dynamically embodied and capable of multimodal perception, reasoning, and action. The framework integrates principles from embodied cognition, adaptive learning, and multimodal data fusion to enable agents that can flexibly interact with complex environments.
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Integrated Information, Causal Structure, and the Prospect of Artificial Consciousness: A Comprehensive Analysis
This paper presents a comprehensive analysis of how integrated information theory and causal structure inform the possibility of artificial consciousness.
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The Known, The Unknown, and The Unknowable: How much do we understand about the human brain?
An abstract overview of the current state of cognitive science, the limitations of human understanding, and the potential for AI to help us understand the human brain.
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The Known, The Unknown, and The Unknowable: An Analysis of the Black Box in Large Language Models
This paper provides a comprehensive analysis of the current state of understanding of Large Language Models (LLMs).
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