Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to AGI and Cognitive Architectures
- Defining AGI: The progression of artificial general intelligence
- The significance of cognitive architectures in the context of AGI
- Foundational theories and key concepts within cognitive science
Foundational Cognitive Architectures
- ACT-R: A framework for cognition and learning
- Soar: An architecture focused on problem-solving
- CLARION: A model for action and reflection
Embedding Cognitive Models in AGI Systems
- The influence of cognitive processes on machine learning outcomes
- Roles of memory, decision-making, and attention mechanisms in AGI
- Constructing cognitive systems that are scalable and adaptable
Development and Assessment of AGI Architectures
- Designing and simulating complex cognitive architectures
- Measuring the performance and precision of AGI models
- Validating AGI systems through real-world application scenarios
Practical Uses of AGI and Cognitive Architectures
- Intersections with natural language processing
- Application in robotics and the development of cognitive agents
- Systems for autonomous decision-making
Obstacles and the Trajectory of AGI Progress
- Ethical dimensions within AGI research
- The evolving role of cognitive architectures in next-gen AI
- Novel trends and innovations shaping AGI systems
Conclusion and Future Directions
- Summary of key learnings from the course
- Recommended resources for continued study
- Q&A session and final reflections
Requirements
- Comprehensive understanding of artificial intelligence and machine learning
- Practical experience in cognitive modeling and computational systems
- Solid grasp of neural networks and deep learning concepts
Target Audience
- Cognitive scientists
- AI researchers
- AI system developers
Testimonials (2)
The historical knowledge of what when and why happened. The training helped me "connect the dots".
Jadwiga Marciniak - GE Aerospace Poland Sp. z o.o.
Course - Praktyczne wprowadzenie do AI w biznesie
Comparison between GenAI and friendly condition in class