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Introduction to AI Reasoning

Early Reasoning Tests and Limitations

Challenges in Early AI Reasoning

The Evolution of Game AI

The Importance of World Models and Algorithms

Early Approaches in Game AI

Limitations of Early Game AI

Intuition in AI Gameplay

The Role of Intuition in Human and Machine Gameplay

Neural Networks and Position Intuition

Move Intuition and Monte Carlo Tree Search

Breakthroughs in AI: AlphaGo and Beyond

AlphaGo and the Combination of Intuition and Search

AlphaGo Zero and the Power of Self-Play

Learning World Models from Experience

MuZero and Generalization Across Games

Advancements in AI Reasoning

The Rise of Large Language Models and Reasoning

Chain of Thought and Tree of Thought

Reinforcement Learning and Reasoning Strategies

Let's Verify Step-by-Step and Future Challenges

Philosophical Considerations in AI

The Debate on True Understanding

Assessment and Feedback

Quiz on Early AI Reasoning

Quiz on Game AI Evolution

Quiz on Intuition in AI Gameplay

Quiz on AlphaGo and Beyond

Quiz on Advancements in AI Reasoning

Course Feedback

Course Feedback Survey

AI Reasoning: From AlphaGo to Generative AI

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            <p>The course titled "AI Reasoning: From AlphaGo to Generative AI" delves into the intricate evolution of artificial intelligence, particularly focusing on reasoning capabilities that have transformed the landscape of AI applications. Beginning with an exploration of early reasoning tests and their inherent limitations, the course sets the stage for understanding the foundational challenges faced by early AI systems. Participants will engage with historical contexts that shaped the development of AI reasoning, examining how initial attempts to replicate human-like reasoning often fell short. This foundational knowledge is crucial for appreciating the advancements that followed and the methodologies that emerged to overcome these early hurdles.</p>

<p>As the course progresses, it will highlight significant milestones in the evolution of game AI, including the pivotal breakthroughs represented by AlphaGo and its successors. The interplay between intuition and algorithmic strategies will be scrutinized, revealing how these elements coalesce to enhance AI performance in complex environments. Furthermore, the course will address contemporary advancements in AI reasoning, such as the rise of large language models and innovative reasoning strategies like reinforcement learning. By the end of this course, participants will not only grasp the historical trajectory of AI reasoning but also engage with philosophical considerations surrounding the true understanding of AI, equipping them with a comprehensive perspective on the future challenges and opportunities in this rapidly evolving field.</p>
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