| Katherine Larson
Assistant Professor Joined School 2004 BSc (Memorial University of Newfoundland),
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Professor Larson's research interests fall in the area of artificial intelligence with an emphasis on self-interested multiagent systems. The overarching theme of her research is strategic reasoning in computational settings. She is interested in understanding how ideas from game theory, mechanism design and microeconomics can be used to model and design systems for intelligent agents, as well as in studying the effect that computational limitations have on strategic behaviour, with the aim of reconciling some of the conflicts that arise between computational and game-theoretic constraints.
She has developed models of bounded-rationality which provide a foundation on which to analyse strategic behaviour of computationally-limited agents in different negotiation mechanisms. She has shown that many of the commonly used negotiation mechanisms promote undesirable strategic behaviour in computationally-limited agents, and is currently studying the problem of how to design mechanisms which explicitly take into account the computational constraints of agents. She is also interested in how strategic agents learn in different environments, as well as in modelling and analysing argumentation from a strategic perspective.
Applications of Professor Larson's work include electronic auction and market design, design and implementation of software agents for negotiation settings, and the use of economic methodologies in computational systems.
Early Researcher Award, Government of Ontario (2006-2011)
Greg Hines and Kate Larson. Preference Elicitation for Risky Prospects. Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), pp. 889-896, 2010.
Iyad Rahwan, Kate Larson and Fernando Tohme, Characterisation of Strategy-Proofness for Grounded Argumentation Semantics, Twenty-first International Joint Conference on Artificial Intelligence (IJCAI 2009), pp. 251-256, 2009.
Simina Branzei and Kate Larson. Coalitional Affinity Games and the Stability Gap, Twenty-first International Joint Conference on Artificial Intelligence (IJCAI 2009), pp. 79-84, 2009.
Georgia Kastidou, Kate Larson and Robin Cohen. Exchanging Reputation Information Between Communities: A Payment-Function Approach. Twenty-first International Joint Conference on Artificial Intelligence (IJCAI 2009), pp. 195-200, 2009.
Greg Hines and Kate Larson, Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium, 24th Conference on Uncertainty in Artificial Intelligence (UAI 2008), pp. 274-281, 2008.
David R. Cheriton School of Computer Science
University of Waterloo
Waterloo, Ontario, Canada N2L 3G1
Tel: 519-888-4567 x33293
Fax: 519-885-1208
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Last modified: Monday, 20-Dec-2010 14:29:56 EST
