Navigating Complexity: The Crossroads of Predictive Processing and Relevance Realization | Leiden Symposium

John Vervaeke explores the intricacies of predictive processing and relevance realization within cognitive frameworks. His dialogue unpacks complex concepts like the frame problem, the relevance problem, and how these theories intertwine within the larger quest for artificial general intelligence. Vervaeke debates the nature of intelligence, discusses the importance of managing the overwhelming influx of information, and the trade-offs between general and specialized problem-solving. John provides detailed explanations of how these cognitive processes are foundational to our interaction with the world and links them to broader philosophical notions of meaning and connectedness.   Resources and References:   John Vervaeke: Website | Patreon | Facebook | X | YouTube The Vervaeke Foundation   Books   Mentoring the Machines: Orientation - Part One: Surviving the Deep Impact of the Artificially Intelligent Tomorrow - John Vervaeke, Shawn Coyne    Mentoring the Machines: Origins - Part 2: Surviving the Deep Impact of the Artificially Intelligent Tomorrow - John Vervaeke, Shawn Coyne    The Rediscovery of the Mind - John R. Searle    Publications   Relevance Realization and the Emerging Framework in Cognitive Science - Vervaeke, J., Lillicrap, T., Richards, B. (2012) The naturalistic imperative in cognitive science - Vervaeke, J. (1997) Predictive processing and relevance realization: exploring convergent solutions to the frame problem. Phenomenology and the Cognitive Sciences.  - Andersen, B. P., Miller, M., & Vervaeke, J. (2022) Flow as spontaneous thought: Insight and implicit learning - Vervaeke, J., Ferraro, L., Herrera-Bennett, A. (2018) Gaining Insight Into the “Aha” Experience - Topolinski, S., Reber, R. (2010) The Frame Problem -Stanford Encyclopedia of Philosophy   Chapters with Timestamps   00:00:20 - John's introduction to predictive processing 00:01:23 - Explanation of the frame problem 00:03:56 - The relevance problem in artificial intelligence 00:08:23 - Discussion on bioeconomic levels of cognitive processing 00:13:06 - How the brain solves environmental fitting 00:22:35 - The integration of predictive processing and relevance realization 00:34:01 - The concept of optimal grip 00:47:39 - Linking flow state to expertise and wisdom 00:54:40 - How wisdom relates to complex problem-solving 00:55:00 - The importance of reorienting oneself in complex situations