What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Law
- Programming language
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.
Her most cited work include:
- Nonmonotonic reasoning, preferential models and cumulative logics (1349 citations)
- Methods for task allocation via agent coalition formation (956 citations)
- Collaborative plans for complex group action (929 citations)
What are the main themes of her work throughout her whole career to date?
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.
She most often published in these fields:
- Artificial intelligence (26.15%)
- Negotiation (21.35%)
- Knowledge management (12.69%)
What were the highlights of her more recent work (between 2015-2021)?
- Artificial intelligence (26.15%)
- Human–computer interaction (10.58%)
- Reinforcement learning (2.69%)
In recent papers she was focusing on the following fields of study:
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
- Adversarial system that intertwine with fields like Patrolling and Adversary,
- Task which connect with Heuristics.
While the research belongs to areas of Negotiation, Sarit Kraus spends her time largely on the problem of Game theory, intersecting her research to questions surrounding Management science, Multitude, Deliberation and Human agent.
Between 2015 and 2021, her most popular works were:
- Strategical Argumentative Agent for Human Persuasion. (47 citations)
- Providing Arguments in Discussions on the Basis of the Prediction of Human Argumentative Behavior (36 citations)
- Predicting Human Decision-Making: From Prediction to Action (33 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- Programming language
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.
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