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Modeling Human Behavior with Generative Agents with Joon Sung Park - #632
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Modeling Human Behavior with Generative Agents with Joon Sung Park - #632
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
47 minutes
Released:
Jun 5, 2023
Format:
Podcast episode
Description
Today we’re joined by Joon Sung Park, a PhD Student at Stanford University. Joon shares his passion for creating AI systems that can solve human problems and his work on the recent paper Generative Agents: Interactive Simulacra of Human Behavior, which showcases generative agents that exhibit believable human behavior. We discuss using empirical methods to study these systems and the conflicting papers on whether AI models have a worldview and common sense. Joon talks about the importance of context and environment in creating believable agent behavior and shares his team's work on scaling emerging community behaviors. He also dives into the importance of a long-term memory module in agents and the use of knowledge graphs in retrieving associative information. The goal, Joon explains, is to create something that people can enjoy and empower people, solving existing problems and challenges in the traditional HCI and AI field.
Released:
Jun 5, 2023
Format:
Podcast episode
Titles in the series (100)
This Week In Machine Learning & AI - 5/20/16: AI at Google I/O, Amazon's Deep Learning DSSTNE: This Week In Machine Learning & AI - May 20, 2016… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)