What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Law
- Programming language
His primary areas of study are Argumentation theory, Artificial intelligence, Negotiation, Knowledge management and Management science.
His Argumentation theory study is concerned with Epistemology in general.
His work carried out in the field of Artificial intelligence brings together such families of science as Cognitive science, Perfect information and Natural language processing.
His studies deal with areas such as Information system and Business economics as well as Negotiation.
He interconnects Buyer agent, Software agent, Human–computer interaction, Negotiation system and Autonomous agent in the investigation of issues within Knowledge management.
His Management science research incorporates elements of Domain, Common value auction, Auction theory, Multi-agent system and Decision theory.
His most cited work include:
- Automated Negotiation: Prospects, Methods and Challenges (1249 citations)
- Agents that Reason and Negotiate by Arguing (646 citations)
- Principles of Data Mining by David J. Hand, Heikki Mannila and Padhraic Smyth, MIT Press, 546 pp., £34.50, ISBN 0-262-08290-X (540 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Argumentation theory, Knowledge management, Management science and Human–computer interaction.
In most of his Artificial intelligence studies, his work intersects topics such as Machine learning.
His Argumentation theory research integrates issues from Argument, Multi-agent system, Autonomous agent and Set.
His Autonomous agent study frequently intersects with other fields, such as Negotiation.
His Management science study frequently draws parallels with other fields, such as Decision theory.
Many of his studies on Robot involve topics that are commonly interrelated, such as Task.
He most often published in these fields:
- Artificial intelligence (34.47%)
- Argumentation theory (30.66%)
- Knowledge management (13.03%)
What were the highlights of his more recent work (between 2012-2021)?
- Argumentation theory (30.66%)
- Artificial intelligence (34.47%)
- Human–computer interaction (10.22%)
In recent papers he was focusing on the following fields of study:
Simon Parsons mainly investigates Argumentation theory, Artificial intelligence, Human–computer interaction, Robot and Task.
The study incorporates disciplines such as Argument, Decision support system, Management science and Knowledge management in addition to Argumentation theory.
In Management science, Simon Parsons works on issues like Multi-agent system, which are connected to Structure and Microeconomics.
His research investigates the connection with Artificial intelligence and areas like Natural language processing which intersect with concerns in Premise.
The Human–computer interaction study combines topics in areas such as Robotics, Architecture and Mobile robot.
He works mostly in the field of Task, limiting it down to topics relating to Operations research and, in certain cases, Focus, as a part of the same area of interest.
Between 2012 and 2021, his most popular works were:
- Argument schemes for reasoning about trust (25 citations)
- Auction-Based Task Allocation for Multi-robot Teams in Dynamic Environments (22 citations)
- Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions (21 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- Programming language
Simon Parsons focuses on Argumentation theory, Robot, Human–computer interaction, Task and Artificial intelligence.
Simon Parsons has included themes like Probabilistic logic, Health care, Knowledge management and Set in his Argumentation theory study.
His Knowledge management research incorporates themes from R-CAST and Business decision mapping.
His studies in Human–computer interaction integrate themes in fields like Human–robot interaction, Formal semantics, Architecture, Multi-agent system and Theory of mind.
Simon Parsons works mostly in the field of Task, limiting it down to topics relating to Focus and, in certain cases, Management science.
His Artificial intelligence research includes themes of Machine learning and Enthymeme.
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