Computers and Thought Award: International Joint Conference on Artificial Intelligence (IJCAI)
The Computers and Thought Award is awarded bi-annually to an outstanding young scientist working in the field of artificial intelligence.

• Fei Fang, 2021
  For for her contributions to integrating machine learning with game theory to tackle societal challengeso integrating machine learning with game theory and the use of these novel techniques to tackle societal challenges such as more effective deployment of security resources, enhancing environmental sustainability, and reducing food insecurity.

• Ariel Procaccia, 2015
  For his contributions to the fields of computational social choice and computational economics, and for efforts to make advanced fair division techniques more widely accessible.

• Carlos Guestrin, 2009
  For significant contributions to machine learning, probabilistic reasoning, and intelligent distributed sensor networks. Computers and Thought Lecture: "How Optimzed Environmental Sensing Helps Address Information Overload on the Web"

• Tuomas Sandholm, 2003
  For his contributions to computational economics and the theory and practice of negotiation and coalition formation techniques used in electronic commerce.
  Computers and Thought Lecture: "Making Markets and Democracy Work: A Story of Incentives and Computing"

• Tom Mitchell, 1983
  Computers and Thought Lecture: "Learning and Problem-Solving

  
  
  

  
  
  

• ALUMNI RECIPIENTS

• Vincent Conitzer, 2011
  For his seminal work at the boundary of microeconomic theory and artificial intelligence, in particular for groundbreaking work on computational aspects of game theory, social choice, and mechanism design
  Computers and Thought Lecture: "One Equilibriam Is Not Enough: Computing Game-Theoretic Solutions to Act Strategically"

• Andrew Ng, 2009
  For fundamental contributions to the application of machine learning to robot perception and control, for leadership in constructing robots that perform unscripted tasks in real environments, and for major contributions to machine learning.
  Computers and Thought Lecture: "STAIR" The STanford Artificial Intelligence Robot Project"

• Peter Stone, 2007
  For his contributions to machine learning in multi-agent systems, particularly in collaborative and adversarial dynamic environments.
  Computers and Thought Lecture: "Learning and Multiagent Reasoning for Autonomous Agents"

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