What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Game theory
- Machine learning
Jeffrey S. Rosenschein focuses on Voting, Negotiation, Artificial intelligence, Game theory and Autonomous agent.
His work deals with themes such as Social choice theory, Mathematical economics, Computational complexity theory and Strategic behavior, which intersect with Voting.
In his study, which falls under the umbrella issue of Mathematical economics, Computer security is strongly linked to Incentive.
In his research, Jeffrey S. Rosenschein performs multidisciplinary study on Artificial intelligence and Rationality.
Jeffrey S. Rosenschein has included themes like Catallaxy, Management science and Human–computer interaction in his Game theory study.
His Autonomous agent research includes elements of Multi-agent system, Knowledge management and Operations research.
His most cited work include:
- Rules of encounter: designing conventions for automated negotiation among computers (942 citations)
- Rules of encounter (557 citations)
- Deals among rational agents (247 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Voting, Mathematical economics, Game theory and Multi-agent system.
His work on Probabilistic logic is typically connected to Negotiation as part of general Artificial intelligence study, connecting several disciplines of science.
Jeffrey S. Rosenschein interconnects Social choice theory, Mathematical optimization and Computational complexity theory in the investigation of issues within Voting.
His Mathematical optimization research includes elements of Graph and Graph.
His studies in Mathematical economics integrate themes in fields like Incentive and Veto.
As part of his studies on Game theory, Jeffrey S. Rosenschein often connects relevant areas like Mechanism design.
He most often published in these fields:
- Artificial intelligence (28.57%)
- Voting (22.45%)
- Mathematical economics (18.78%)
What were the highlights of his more recent work (between 2012-2021)?
- Voting (22.45%)
- Mathematical economics (18.78%)
- Nash equilibrium (6.12%)
In recent papers he was focusing on the following fields of study:
Jeffrey S. Rosenschein mostly deals with Voting, Mathematical economics, Nash equilibrium, Social choice theory and Game theory.
Jeffrey S. Rosenschein studies Voting, namely Cardinal voting systems.
His research in Mathematical economics intersects with topics in Simulation, Voting behavior, Veto and Set.
The Game theory study combines topics in areas such as Multi-agent system and Mechanism design.
Range is a subfield of Artificial intelligence that Jeffrey S. Rosenschein investigates.
Jeffrey S. Rosenschein combines topics linked to Machine learning with his work on Artificial intelligence.
Between 2012 and 2021, his most popular works were:
- Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis (145 citations)
- Empirical analysis of plurality election equilibria (31 citations)
- Computing cooperative solution concepts in coalitional skill games (31 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Game theory
- Machine learning
The scientist’s investigation covers issues in Voting, Mathematical economics, Cardinal voting systems, Outcome and Condorcet method.
In his articles, Jeffrey S. Rosenschein combines various disciplines, including Voting and Gerrymandering.
The various areas that he examines in his Mathematical economics study include Computational complexity theory, Theoretical computer science, Voting behavior and Set.
His Cardinal voting systems study deals with Social choice theory intersecting with Complete information and Bullet voting.
His Equilibrium selection study is concerned with Game theory in general.
Jeffrey S. Rosenschein interconnects Sequential decision, Autonomous agent, Multi-agent system and Computer security in the investigation of issues within Game theory.
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