What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Law
- Programming language
His scientific interests lie mostly in Argumentation theory, Artificial intelligence, Software agent, Argument and Knowledge management.
His work deals with themes such as Dialectic, Management science, Protocol, Set and Semantics, which intersect with Argumentation theory.
The Artificial intelligence study combines topics in areas such as Cognitive science and Persuasion.
His Argument research incorporates elements of Multi-agent system, Extension, Key and Analytic reasoning, Reasoning system.
His research investigates the link between Multi-agent system and topics such as Satisficing that cross with problems in Auction theory.
His studies deal with areas such as Agent Communications Language, Human–computer interaction and Negotiation as well as Knowledge management.
His most cited work include:
- Argumentation-based negotiation (537 citations)
- Agent technology, Computing as Interaction: A Roadmap for Agent Based Computing (305 citations)
- Agent Technology: Enabling Next Generation Computing (A Roadmap for Agent Based Computing) (281 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Argumentation theory, Artificial intelligence, Multi-agent system, Knowledge management and Argument.
In his study, Human–computer interaction is strongly linked to Software agent, which falls under the umbrella field of Argumentation theory.
His Artificial intelligence research incorporates themes from Context, Cognitive science, Persuasion and Semantics.
His research on Multi-agent system often connects related topics like Theoretical computer science.
His Knowledge management study frequently intersects with other fields, such as Argumentation framework.
Peter McBurney combines subjects such as Practical reason, Set and Action with his study of Argument.
He most often published in these fields:
- Argumentation theory (33.77%)
- Artificial intelligence (20.00%)
- Multi-agent system (16.72%)
What were the highlights of his more recent work (between 2014-2021)?
- Microeconomics (9.18%)
- Multi-agent system (16.72%)
- Argumentation theory (33.77%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Microeconomics, Multi-agent system, Argumentation theory, Double auction and Blockchain.
His Multi-agent system research includes themes of Context and Management science.
His Management science study integrates concerns from other disciplines, such as Public relations and Negotiation.
His Argumentation theory study combines topics in areas such as Argument, Multimedia and Selection, Artificial intelligence, Statistical model.
The Argument study combines topics in areas such as Software agent, Honour, Applied mathematics and Set.
Peter McBurney works mostly in the field of Artificial intelligence, limiting it down to topics relating to Theoretical computer science and, in certain cases, Access control.
Between 2014 and 2021, his most popular works were:
- Validation and Verification of Smart Contracts: A Research Agenda (73 citations)
- Convergence of trading strategies in continuous double auction markets with boundedly-rational networked traders (23 citations)
- Learning unfair trading: A market manipulation analysis from the reinforcement learning perspective (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Law
- Programming language
Peter McBurney spends much of his time researching Multi-agent system, Microeconomics, Theory of mind, Trading strategy and Deception.
Peter McBurney interconnects Context, Correctness and Management science in the investigation of issues within Multi-agent system.
His work on Double auction and Zero intelligence as part of general Microeconomics study is frequently linked to Homogeneous, bridging the gap between disciplines.
His Deception research is multidisciplinary, relying on both Programming language, Cognitive science and Agent-oriented programming.
Throughout his Mechanism studies, he incorporates elements of other sciences such as Set, Structure, Rotation formalisms in three dimensions, Argument and Argumentation theory.
Much of his study explores Argumentation theory relationship to Theoretical computer science.
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