2020 - ACM Athena Lecturer Award For foundational contributions to artificial intelligence, notably to multi-agent systems, human-agent interaction, autonomous agents and non-monotonic reasoning, and exemplary service and leadership in these fields.
2014 - ACM Fellow For contributions to artificial intelligence, including multi-agent systems, human-agent interaction and non-monotonic reasoning.
2012 - Member of Academia Europaea
Her main research concerns Artificial intelligence, Negotiation, Game theory, Adversary and Knowledge management. Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Theoretical computer science, Completeness, Set, Epistemology and Axiom. Her Negotiation research is multidisciplinary, incorporating elements of Management science, Field, Task, Human–computer interaction and Outcome.
Her Game theory study incorporates themes from Stackelberg competition, Structure and Operations research. Her Adversary research incorporates elements of Adversarial system, Knowledge base, Robot, Key and Patrolling. The Knowledge management study combines topics in areas such as Intelligent agent, Teamwork, Multi-agent system, Autonomous agent and Process management.
Sarit Kraus spends much of her time researching Artificial intelligence, Negotiation, Knowledge management, Human–computer interaction and Computer security. Her Artificial intelligence study deals with Task intersecting with Distributed computing. Her study in Negotiation is interdisciplinary in nature, drawing from both Variety, Management science, Game theory and Complete information.
Her work in Knowledge management tackles topics such as Teamwork which are related to areas like Multi-agent system. Her study ties her expertise on Intelligent agent together with the subject of Human–computer interaction. Her Adversary research focuses on subjects like Patrolling, which are linked to Stackelberg competition.
Her primary areas of study are Artificial intelligence, Human–computer interaction, Reinforcement learning, Robot and Negotiation. In her work, Sarit Kraus performs multidisciplinary research in Artificial intelligence and Observable. Her Human–computer interaction study combines topics in areas such as Intelligent agent, Variety, User modeling and State.
Her research in Reinforcement learning intersects with topics in Learning environment, Human knowledge and Operations research. Her Robot study also includes
Sarit Kraus focuses on Artificial intelligence, Human–computer interaction, Reinforcement learning, Negotiation and Social network. Artificial intelligence is often connected to Task in her work. Sarit Kraus combines subjects such as Knowledge management, Search and rescue, Intelligent agent, Mobile robot and Variety with her study of Human–computer interaction.
Her research investigates the connection with Knowledge management and areas like Argumentative which intersect with concerns in Heuristics. Her research integrates issues of Operator, Action, Autonomous agent, Decision theory and Game theory in her study of Mobile robot. Her Negotiation research is multidisciplinary, relying on both Academic achievement, Social psychology, Table and Economic model.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Nonmonotonic reasoning, preferential models and cumulative logics
Sarit Kraus;Daniel Lehmann;Menachem Magidor.
Artificial Intelligence (1990)
Collaborative plans for complex group action
Barbara J. Grosz;Sarit Kraus.
Artificial Intelligence (1996)
Methods for task allocation via agent coalition formation
Onn Shehory;Sarit Kraus.
Artificial Intelligence (1998)
Reaching agreements through argumentation: a logical model and implementation
Sarit Kraus;Katia Sycara;Amir Evenchik.
Artificial Intelligence (1998)
Strategic Negotiation in Multiagent Environments
Sarit Kraus.
(2001)
Negotiation and cooperation in multi-agent environments
Sarit Kraus;Sarit Kraus.
Artificial Intelligence (1997)
Multiagent negotiation under time constraints
Sarit Kraus;Jonathan Wilkenfeld;Gilad Zlotkin.
Artificial Intelligence (1995)
Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games
Praveen Paruchuri;Jonathan P. Pearce;Janusz Marecki;Milind Tambe.
adaptive agents and multi agents systems (2008)
Deployed ARMOR protection: the application of a game theoretic model for security at the Los Angeles International Airport
James Pita;Manish Jain;Janusz Marecki;Fernando Ordóñez.
adaptive agents and multi agents systems (2008)
COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES
Chitta Baral;Sarit Kraus;Jack Minker;V. S. Subrahmanian.
computational intelligence (1992)
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