November 15, 2023
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56:21Now PlayingJohn 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
The Vervaeke Foundation
Books
Mentoring the MachinesOrientation Part OneSurviving the Deep Impact of the Artificially Intelligent Tomorrow John Vervaeke, Shawn Coyne
Mentoring the MachinesOrigins Part 2Surviving 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 realizationexploring convergent solutions to the frame problem. Phenomenology and the Cognitive Sciences. Andersen, B. P., Miller, M., & Vervaeke, J. (2022)
Flow as spontaneous thoughtInsight and implicit learning Vervaeke, J., Ferraro, L., HerreraBennett, A. (2018)
Gaining Insight Into the “Aha” Experience Topolinski, S., Reber, R. (2010)
The Frame Problem Stanford Encyclopedia of Philosophy
Chapters with Timestamps
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