Artificial Intelligence Group

Welcome to the Artificial Intelligence Group

The Artificial Intelligence (AI) Group conducts research in many areas of artificial intelligence. The group has active interests in: models of intelligent interaction, multi-agent systems, natural language understanding, constraint programming, computational vision, robotics, machine learning, and reasoning under uncertainty.


News archive

  1. Mar. 20, 2018AI Seminar: Information as A Double-Edged Sword in Strategic Interactions

    Speaker: Haifeng Xu, University of Southern California

    Strategic interactions among self-interested agents (a.k.a., games) are ubiquitous, ranging from economic activity in daily life and the Internet to defender-adversary interactions in national security.  A key variable influencing agents' strategic decision making is the information they have available about their environment as well as the preferences and actions of others. In this talk, I will describe my work on computational questions pertaining to the role of information in games.

  2. Mar. 20, 2018PhD Seminar: Learning Sparse Wavelet Representations

    Speaker: Daniel Recoskie, PhD candidate

    We propose a method for learning wavelet filters directly from data. We accomplish this by framing the discrete wavelet transform as a modified convolutional neural network. We introduce an autoencoder wavelet transform network that is trained using gradient descent.

  3. Apr. 4, 2018PhD Defence: Spaun 2.0: Extending the World's Largest Functional Brain Model

    Speaker: Feng-Xuan Choo, PhD candidate

    Building large-scale brain models is one method used by theoretical neuroscientists to understand the way the human brain functions. Researchers typically use either a bottom-up approach, which focuses on the detailed modelling of various biological properties of the brain and places less importance on reproducing functional behaviour, or a top-down approach, which generally aim to reproduce the behaviour observed in real cognitive agents, but typically sacrifices adherence to constraints imposed by the neuro-biology. 

    The focus of this thesis is Spaun, a large-scale brain model constructed using a combination of the bottom-up and top-down approaches to brain modelling. Spaun is currently the world's largest functional brain model, capable of performing 8 distinct cognitive tasks ranging from digit recognition to inductive reasoning. The thesis is organized to discuss three aspects of the Spaun model.

All upcoming events