BC4: Cognitive AI

Description

Session 1: Foundations of (the quest for) AI – a field at the intersection between computer science, cognitive science/psychology, and philosophy
Session 2: The mathematics of human thought – symbolic reasoning and logic-based approaches in AI
Session 3: The engine of the renAIssance – connectionist models and the statistics of learning
Session 4: The fringe of the fringe – cognitive systems, computational creativity, and explainable AI

Objectives


Becoming aware of and familiar with the (most important) conceptual foundations underlying research in AI.
Acquiring basic knowledge of standard approaches to reasoning/symbolic processing and learning/statistical or connectionist processing.
Developing basic intuitions for chances and possibilities, but also for current limitations and challenges, in AI.
Raising awareness for the connections and differences between AI, cognitive science, psychology, and neuroscience.

Literature

For the very short attention span and/or the video aficionados: http://www.bbc.co.uk/news/av/technology-30296999/artificial-intelligence-a-brief-introduction-to-ai

Already more ambitious: https://pdfs.semanticscholar.org/bef0/731f247a1d01c9e0ff52f2412007c143899d.pdf

Not for the faint of heart: https://ai.stanford.edu/~nilsson/QAI/qai.pdf

Course location

Günne

Course requirements

none

Instructor information.

Instructor
Tarek Besold

Vita

Tarek R. Besold is a Lecturer in Data Science at City, University of London, working on topics at the intersection between artificial intelligence, computational creativity, and cognitive systems. He studied mathematics, computer science, and logic in Erlangen, Zaragoza, and Amsterdam, obtained a PhD from the Institute of Cognitive Science in Osnabrück, and worked as a postdoctoral researcher at the KRDB Research Centre of the Free University of Bozen-Bolzano, and at the Digital Media Lab of the University of Bremen. Among others, Tarek was the General Chair of the HLAI 2016 Joint Multi-Conference on Human-Level Artificial Intelligence, and founder and/or organizer of several international workshop series bridging between AI and cognitive science. He co-edited the books “Computational Creativity Research: Towards Creative Machines” and “Concept Invention: Foundations, Implementation, Social Aspects and Applications”, and serves in different editorial functions for the Journal of Artificial Intelligence Research (JAIR), for Frontiers in Psychology: Cognition, and for Biologically Inspired Cognitive Architectures (BICA).

Website

http://www.cat-ai.org/