Artificial Intelligence, human-computer interaction, automated negotiation, game theory, electronic commerce, multiagent systems
ABOUT MY WORK
My research is primarily in the areas of artificial intelligence, autonomous systems and multi-agent systems, dealing with cooperation, economic paradigms and game theory, agent-based simulation, intelligent user interface and economic search.
I am especially interested in the role that information plays in multi-agent settings, hence typically consider various types of environments, distinguished by the agent’s goals (fully-cooperative or self-interested) and design (fully rational or bounded rational). Much of my work is based on optimization and game theory while other heavily relies on extensive experimentation with people (using platforms such as Amazon Mechanical Turk).
SELECTED PUBLICATIONS
1. David Sarne, Sarit Kraus, Managing Parallel Inquiries in Agents’ Two-Sided Search. Artificial Intelligence, 172:541–569, 2008 (PDF)
2. Efrat Manisterski, David Sarne, Sarit Kraus, Enhancing Cooperative Search with Concurrent Interactions. Journal of Artificial Intelligence Research 32:1-36, 2008 (PDF)
3. Abraham Grosfeld-Nir, David Sarne, Israel Spiegler, Modeling the Search for the Least Costly Opportunity. European Journal of Operational Research, 197:667–674, 2009 (PDF)
4. David Sarne, Efrat Manisterski, Sarit Kraus: Multi-goal economic search using dynamic search structures. Autonomous Agents and Multi-Agent Systems 21(2): 204-236, 2010 (PDF)
5. Michal Chalamish, David Sarne and Raz Lin. The Effectiveness of Peer-Designed Agents in Agent-Based Simulations. Multiagent and Grid Systems 8(4): 349-372 (2012) (PDF)
RESEARCH PROJECTS
cooperation in Multi-agent systems
Economic paradigms
Agent-based simulation
Agents and People
Economic Search