Game theory pragmatics: a challenge for AI

Authors:
Yoav Shoham
Affiliations:
Computer Science Department, Stanford University
Venue:
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Year:
2008

Citing 7
Cited 0

Intention is choice with commitment

Artificial Intelligence
On complexity as bounded rationality (extended abstract)

STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Games, computers, and O.R.

Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents)

Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents)
Computer science and game theory

Communications of the ACM - Designing games with a purpose
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind

The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
A new algorithm for generating equilibria in massive zero-sum games

AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1

Quantified Score

Hi-index	0.00

Visualization

Abstract

Game theory has been playing an increasingly visible role in computer science in general and AI in particular, most notably in the area of multi agent systems. I briefly list the areas where most of the action has been in the past decade or so. I then suggest that going forward, the most dramatic interaction between computer science and game theory - with a special role for AI - could be around what might be called game theory pragmatics.