Artificial Intelligence
| In this talk from the 30C3 Conference, AI researcher Joscha Bach addressed 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. |
Dr. Joscha Bach is an AI researcher who worked and published about cognitive architectures, mental representation, emotion, social modeling, and multi-agent systems.
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, for Bach, artificial intelligence 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 mechanical world view.
Bach earned his Ph.D. in cognitive science from the University of Osnabrück, Germany, and has built computational models of motivated decision making, perception, categorization, and concept-formation. He is especially interested in the philosophy of artificial intelligence and in the augmentation of the human mind.
Bach has taught computer science, AI, and cognitive science at the Humboldt-University of Berlin and the Institute for Cognitive Science at Osnabrück.
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These architectures and their implementation have several lessons for other architectures and models. Most notably, the PSI architecture includes drives and thus directly addresses questions of emotional behavior. An architecture including drives helps clarify how emotions could arise. It also changes the way that the architecture works on a fundamental level, providing an architecture more suited for behaving autonomously in a simulated world.
PSI includes three types of drives, physiological (e.g., hunger), social (i.e., affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency). These drives routinely influence goal formation and knowledge selection and application. The resulting architecture generates new kinds of behaviors, including context dependent memories, socially motivated behavior, and internally motivated task switching. This architecture illustrates how emotions and physical drives can be included in an embodied cognitive architecture.
Currently, he is working as a research fellow with Humanity+ in Berlin, Germany.
SOURCE Albert Veli
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