Shani Alkobi

Research Scientist
Alkoby is a computer science researcher. Her main interest is the way information can influence the different participant in multi-agent systems. As a researcher, Alkoby owns many research capabilities. Alkoby has a strong mathematical base in addition to broad theoretical and practical knowledge in variety of fields such as: Game Theory, Auction Theory, Human Computer Interaction, and Search Theory.


Research Areas: 
Research Interests: 
  • AI
  • Information disclosure
  • Value of information
  • Information brokers in multi-agent systems
  • Game theory
  • Auction theory
  • Multi-agent economic search/exploration
  • Human-computer interaction
  • Mechanism design

Select Publications

Guni Sharon, Stephen D Boyles, Shani Alkoby, Peter Stone. May 2019. Marginal Cost Pricing with a Fixed Error Factor in Traffic Networks. AAMAS.
Shani Alkoby, Avilash Rath, Peter Stone. September 20 2018. Ad hoc Teamwork and Moral Feedback as a Framework for Safe Agent Behavior. arXiv.
Shani Alkoby, David Sarne, Erel Segal-Halevi, Tomer Sharbaf. July 9 2018. Eliciting Truthful Unverifiable Information. International Foundation for Autonomous Agents and Multiagent Systems. 1850 - 1852.
Shani Alkoby, David Sarne, Igal Milchtaich. February 10 2017. Strategic signaling and free information disclosure in auctions. AAAI Conference on Artificial Intelligence .
Shani Alkoby, David Sarne. May 4 2015. Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets . Springer.