AI Today Podcast: AI Glossary Series – Goal-Driven Systems & Roboadvisor
Jan 20, 2023
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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.
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.
Understanding RoboAdvisor
RoboAdvisor is an automated algorithmic service prominent in the finance industry, offering financial planning assistance with minimal human interaction. By employing goal-driven systems, RoboAdvisors create tailored financial plans based on individual income, expenses, and preferences. Although primarily associated with finance, the concept of RoboAdvisors showcases the broader application of such systems beyond the financial sector. By understanding and applying the principles of RoboAdvisors, individuals can adapt similar approaches to diverse problem-solving scenarios.
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Exploring Goal-Driven Systems & RoboAdvisor in AI Glossary Series
One of the seven patterns of AI, the objective of goal driven systems is to find the most optimal path or solution to a problem. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schemlzer define and discuss at a high level the terms Goal-Driven Systems as well as Roboadvisor, why it’s important to understand these terms, and how they fit into the overall picture of AI.