Explore the contrasting approaches to artificial intelligence in this thought-provoking conference talk by AI pioneer Doug Lenat. Delve into the distinctions between right-brain-like neural networks and left-brain-like symbolic reasoning, examining their respective strengths and limitations. Discover how combining these two approaches could lead to more powerful and trustworthy AI systems. Learn about Cyc, the largest symbolic AI platform, and its real-world applications. Gain insights into the challenges of explaining AI decisions and the potential for hybrid systems to overcome current limitations. Understand the importance of causal reasoning, common sense heuristics, and the integration of multiple expert knowledge in advancing AI capabilities.
Overview
Syllabus
Intro
Two different power sources
Right brain brittleness
Left brain brittleness
Eliza
The Wisdom of the Crowd
The Power of Statistics
Common Sense Heuristics
Strengths Weaknesses
MathCraft
Situations that havent happened
ML and symbolic logic
We want plausible answers
Multiple experts
Summary
National Cooperative Research Act
Left brain thinking
Limited logics
Tradeoff curve
Causal reasoning
Conclusion
Taught by
GOTO Conferences
