How to Build a Mind: Artificial Intelligence Reloaded

Presented at 30C3 (2013), Dec. 29, 2013, 4 p.m. (60 minutes)

A foray into the present, future and ideas of Artificial Intelligence. Are we going to build (beyond) human-level artificial intelligence one day? Very likely. When? Nobody knows, because the specs are not fully done yet. But let me give you some of those we already know, just to get you started.

While large factions within the philosophy of mind still seem to struggle over the relationship between mind, world, meaning, intentionality, subjectivity, phenomenal experience, personhood and autonomy, Artificial Intelligence (AI) offers a clear and concise set of answers to these basic questions, as well as avenues of pursuing their eventual understanding. In the view of AI, minds are computational machines, whereby computationalism is best understood as the most contemporary version of the mechanist world view.

In the lecture, I will briefly address some of the basic ideas that will underlie a unified computational model of the mind, and especially focus on a computational understanding of motivation and autonomy, representation and grounding, associative thinking, reason and creativity.


  • Joscha
    AI researcher, cognitive scientist Joscha Bach studied computer science and philosophy in Berlin and New Zealand before embarking into Artificial Intelligence. He obtained his PhD in 2008 from the Institute of Cognitive Science in Osnabrück, founded IT companies and currently lives and works in Berlin. He is the author of the cognitive architecture MicroPsi; his main interests involve Artificial General Intelligence and computational models of cognition.


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