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コース概要
Introduction to AGI and Cognitive Architectures
- What is AGI? The evolution of artificial general intelligence
- Overview of cognitive architectures and their role in AGI
- Key concepts and foundational theories in cognitive science
Core Cognitive Architectures
- ACT-R: Architecture for Cognition and Learning
- Soar: Cognitive Architecture for Problem Solving
- CLARION: Cognitive Architecture for Action and Reflection
Integration of Cognitive Models in AGI Systems
- How cognitive processes influence machine learning
- Memory systems, decision-making, and attention in AGI
- Building scalable and adaptable cognitive systems
Building and Evaluating AGI Architectures
- Designing and simulating cognitive architectures
- Evaluating performance and accuracy of AGI models
- Testing AGI systems in real-world applications
Applications of AGI and Cognitive Architectures
- Natural language processing and AGI models
- Robotics and cognitive agents
- Autonomous decision-making systems
Challenges and Future of AGI Development
- Ethical considerations in AGI research
- The future of cognitive architectures in advanced AI
- Emerging trends and innovations in AGI systems
Summary and Next Steps
- Key takeaways from the course
- Resources for further learning
- Q&A and closing remarks
要求
- In-depth knowledge of artificial intelligence and machine learning
- Experience in cognitive modeling and computational systems
- Understanding of neural networks and deep learning
Audience
- Cognitive scientists
- AI researchers
- AI system developers
14 時間
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Comparison between GenAI and friendly condition in class
