Jay and I discuss his rather ambitious project to implement mathematical reasoning in an AI agent. Plus his prominent role in and experience of the history of parallel distributed processing and neural network architectures taking over symbolic “good ol’ fashioned artificial intelligence” in the 1980s, and lots more.
Paul, Zac, and I discuss the philosophy of emergence, the neuroscience and philosophy of mind wandering and spontaneous thought, and how both of these may fit in the realm of artificial intelligence and consciousness. Plus, we talk about the role of philosophy in neuroscience and AI, and more.
Sam and I talk about the Free Energy Principle and how it relates to the Bayesian Brain Hypothesis, all under the realm of predictive coding. We also discuss some of the ingredients currently missing from deep learning approaches if we want machines to learn and think more like humans.
Ioana, Konrad, and I talk about ways causality can be inferred using data from quasi-experiments, the role economics and econometrics has played, causality in AI, some of the ins and outs of marriage in academia, and plenty more.
Kendrick and I discuss his models that predict how the human brain responds to pictures of faces and words, how we make decisions about those pictures, and how our brain gears up for such tasks. We also discuss models in general- what they are, how we should judge them, and so on, plus a few of his other projects and…. wait for it… lots more.
