AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
24min chapter
DR. JEFF BECK - THE BAYESIAN BRAIN
Machine Learning Street Talk (MLST)
Navigating Active Inference and Agent Dynamics
This chapter explores the concept of active inference, contrasting it with traditional reinforcement learning while emphasizing the importance of self-organization and emergent behavior in agents. It delves into the complexities of defining reward functions, advocating for homeostatic equilibrium to foster stability in agent modeling. The discussion further illuminates the dynamics of multi-agent systems and the potential innovations in machine learning architectures that could enhance cooperation and communication among artificial agents.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode