AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion cover image

AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

AI Today Podcast: AI Glossary Series – Goal-Driven Systems & Roboadvisor

Jan 20, 2023
Explore the concepts of goal-driven systems and RoboAdvisor in AI, focusing on optimal solutions through reinforcement learning. Learn how these terms play a crucial role in AI applications, such as game playing, business operations, and financial planning. Discover how AI algorithms like AlphaGo and AlphaZero utilize problem-solving and reinforcement learning for optimal solutions, and how RoboAdvisors are used in the finance sector for automated financial planning assistance.
08:50

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Quick takeaways

  • Goal-driven systems focus on finding optimal solutions using methods like reinforcement learning, paving the way for artificial general intelligence.
  • RoboAdvisors employ goal-driven systems to create tailored financial plans, showcasing broader applications beyond finance.

Deep dives

Goal-Driven Systems in AI

Goal-driven systems are a crucial pattern in AI, focusing on finding optimal solutions using methods like reinforcement learning. Examples such as game playing and resource optimization illustrate the function of this pattern. In practical terms, goal-driven systems can be seen in game strategies where AI algorithms operate at superhuman levels, leading to accusations of cheating in professional competitions. This pattern, known for iterative problem solving and learning through trial and error, is believed to pave the way for artificial general intelligence.

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