What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- The Internet
Nicholas R. Jennings mostly deals with Multi-agent system, Knowledge management, Autonomous agent, Management science and Artificial intelligence.
Nicholas R. Jennings has researched Multi-agent system in several fields, including Intelligent agent, Software agent, Risk analysis, Software engineering and Operations research.
Process and Competition is closely connected to Key in his research, which is encompassed under the umbrella topic of Knowledge management.
His Autonomous agent study integrates concerns from other disciplines, such as Software system, Mathematical optimization, Heuristic, Common value auction and Computational model.
His studies in Management science integrate themes in fields like Domain, Buyer agent, Information system and Argumentation theory.
He studied Artificial intelligence and Electricity that intersect with Simulation and Smart grid.
His most cited work include:
- Intelligent Agents: Theory and Practice (5593 citations)
- A Roadmap of Agent Research and Development (1944 citations)
- The Gaia Methodology for Agent-Oriented Analysis and Design (1798 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Multi-agent system, Mathematical optimization, Knowledge management and Autonomous agent.
His research on Artificial intelligence often connects related areas such as Machine learning.
His Multi-agent system study combines topics in areas such as Distributed computing, Management science and Software agent.
As part of his studies on Mathematical optimization, Nicholas R. Jennings often connects relevant subjects like Mechanism design.
His research combines Intelligent agent and Autonomous agent.
He most often published in these fields:
- Artificial intelligence (16.33%)
- Multi-agent system (15.75%)
- Mathematical optimization (11.87%)
What were the highlights of his more recent work (between 2011-2020)?
- Artificial intelligence (16.33%)
- Mechanism design (7.17%)
- Mathematical optimization (11.87%)
In recent papers he was focusing on the following fields of study:
Nicholas R. Jennings focuses on Artificial intelligence, Mechanism design, Mathematical optimization, Crowdsourcing and Operations research.
Nicholas R. Jennings combines subjects such as Machine learning, State and Set with his study of Artificial intelligence.
His Mechanism design study is concerned with Mathematical economics in general.
His research in Mathematical optimization intersects with topics in Outcome, Regret and Payment.
His Crowdsourcing research includes themes of Quality, Data mining, Task, Social media and Data science.
His Task research incorporates elements of Incentive compatibility and Distributed computing.
Between 2011 and 2020, his most popular works were:
- Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence (376 citations)
- An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles (140 citations)
- Evaluating practical negotiating agents: Results and analysis of the 2011 international competition (131 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- The Internet
His main research concerns Mechanism design, Artificial intelligence, Crowdsourcing, Operations research and Energy management.
The study incorporates disciplines such as Competition, Machine learning and Set in addition to Artificial intelligence.
His Competition research includes elements of Empirical game theory, Robustness and Management science.
His work in Operations research covers topics such as Flexibility which are related to areas like Mechanism, Outsourcing, Crowdsourcing software development and Software development.
His work deals with themes such as Knowledge management, Asynchronous communication and Data science, which intersect with Task.
Nicholas R. Jennings usually deals with Computational complexity theory and limits it to topics linked to Divide and conquer algorithms and Multi-agent system.
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