Integrated Information Theory of Consciousness in Conventional Computing

Overview

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

Syllabus

• Introduction to Integrated Information Theory (IIT)
Overview of the IIT framework and its key principles
Historical context and development of IIT
Relevance of IIT to consciousness studies
• Fundamentals of Consciousness
Defining consciousness and its core properties
Philosophical and scientific approaches to consciousness
Relation between consciousness and information processing
• Cause-Effect Structures in IIT
Exploring cause-effect repertoires
Mechanisms and systems in IIT
Mathematical modeling of cause-effect structures
• Integrated Information and Φ (Phi)
Calculation of integrated information
Role of Φ in assessing consciousness
Examples of Phi in computational models
• Conventional Computing and IIT
Nature of computational systems and consciousness
Mapping computational processes to IIT paradigms
Challenges in applying IIT to traditional computing
• Simulated Systems and Consciousness
Assessing conscious experience in simulations
Theoretical exploration of AI and consciousness
Critically evaluating assumptions about AI consciousness
• Case Studies
Analysis of specific computer programs through the lens of IIT
Real-world applications and theoretical models
• Ethical Implications
Moral questions surrounding AI and simulated consciousness
Potential impact on society and AI ethics guidelines
• Critiques and Limitations of IIT
Common criticisms of IIT from scientific and philosophical perspectives
Limitations of applying IIT to AI and computational models
• Future Directions and Research
Emerging trends in consciousness research
Open questions and unexplored areas in IIT
Implications for AI development and future technologies
• Conclusion
Recap of key concepts learned
Future implications for AI and consciousness research

Subjects

Conference Talks