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

<p dir="ltr">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.</p> <p dir="ltr"> </p> <p dir="ltr"><strong>Resources and References:</strong></p> <p><strong> </strong></p> <p dir="ltr">John Vervaeke: <a href="https://johnvervaeke.com/">Website</a> | <a href="https://www.patreon.com/johnvervaeke">Patreon</a> | <a href="https://www.facebook.com/VervaekeJohn/">Facebook</a> | <a href="https://twitter.com/vervaeke_john">X</a> | <a href="https://www.youtube.com/@johnvervaeke">YouTube</a></p> <p dir="ltr"><a href="https://vervaekefoundation.org/">The Vervaeke Foundation</a></p> <p dir="ltr"> </p> <p dir="ltr"><strong>Books</strong></p> <p><strong> </strong></p> <p dir="ltr"><a href="https://www.amazon.com/Mentoring-Machines-Orientation-Artificially-Intelligent/dp/1645010821/ref=tmm_pap_swatch_0?_encoding=UTF8&amp;qid=1699474621&amp;sr=1-1"> Mentoring the Machines: Orientation - Part One: Surviving the Deep Impact of the Artificially Intelligent Tomorrow</a> - John Vervaeke, Shawn Coyne </p> <p><strong> </strong></p> <p dir="ltr"><a href="https://www.amazon.com/Mentoring-Machines-Surviving-Artificially-Intelligent/dp/B0CH25KPD3/ref=tmm_pap_swatch_0?_encoding=UTF8&amp;qid=1699474520&amp;sr=1-2"> Mentoring the Machines: Origins - Part 2: Surviving the Deep Impact of the Artificially Intelligent Tomorrow</a> - John Vervaeke, Shawn Coyne </p> <p><strong> </strong></p> <p dir="ltr"><a href="https://www.amazon.com/Rediscovery-Mind-Representation/dp/026269154X"> The Rediscovery of the Mind</a> - John R. Searle </p> <p><strong> </strong></p> <p dir="ltr"><strong>Publications</strong></p> <p><strong> </strong></p> <ul> <li dir="ltr"> <p dir="ltr"><a href="https://www.researchgate.net/publication/220387969_Relevance_Realization_and_the_Emerging_Framework_in_Cognitive_Science"> Relevance Realization and the Emerging Framework in Cognitive Science</a> - Vervaeke, J., Lillicrap, T., Richards, B. (2012)</p> </li> <li dir="ltr"> <p dir="ltr"><a href="https://tspace.library.utoronto.ca/handle/1807/10696">The naturalistic imperative in cognitive science</a> - Vervaeke, J. (1997)</p> </li> <li dir="ltr"> <p dir="ltr"><a href="https://link.springer.com/article/10.1007/s11097-022-09850-6">Predictive processing and relevance realization: exploring convergent solutions to the frame problem. Phenomenology and the Cognitive Sciences.</a>  - Andersen, B. P., Miller, M., & Vervaeke, J. (2022)</p> </li> <li dir="ltr"> <p dir="ltr"><a href="https://www.researchgate.net/publication/326846392_Flow_as_spontaneous_thought_Insight_and_implicit_learning"> Flow as spontaneous thought: Insight and implicit learning</a> - Vervaeke, J., Ferraro, L., Herrera-Bennett, A. (2018)</p> </li> <li dir="ltr"> <p dir="ltr"><a href="https://www.researchgate.net/publication/272160303_Gaining_insight_into_the_Aha_Experience"> Gaining Insight Into the "Aha" Experience</a> - Topolinski, S., Reber, R. (2010)</p> </li> <li dir="ltr"> <p dir="ltr"><a href="https://plato.stanford.edu/entries/frame-problem/">The Frame Problem</a> -Stanford Encyclopedia of Philosophy</p> </li> </ul> <p> </p> <p dir="ltr"><strong>Chapters with Timestamps</strong></p> <p><strong> </strong></p> <p dir="ltr">00:00:20 - John's introduction to predictive processing</p> <p dir="ltr">00:01:23 - Explanation of the frame problem</p> <p dir="ltr">00:03:56 - The relevance problem in artificial intelligence</p> <p dir="ltr">00:08:23 - Discussion on bioeconomic levels of cognitive processing</p> <p dir="ltr">00:13:06 - How the brain solves environmental fitting</p> <p dir="ltr">00:22:35 - The integration of predictive processing and relevance realization</p> <p dir="ltr">00:34:01 - The concept of optimal grip</p> <p dir="ltr">00:47:39 - Linking flow state to expertise and wisdom</p> <p dir="ltr">00:54:40 - How wisdom relates to complex problem-solving</p> <p dir="ltr">00:55:00 - The importance of reorienting oneself in complex situations</p> <p> </p>