His primary scientific interests are in Knowledge management, Multi-agent system, Artificial intelligence, Software engineering and Autonomous agent. His research in Knowledge management intersects with topics in Probabilistic logic, Process and Normative. His Multi-agent system research integrates issues from Web service, Distributed computing, Theory, Systems engineering and Key.
His study on Intelligent agent is often connected to Procedural reasoning system as part of broader study in Artificial intelligence. The Software engineering study combines topics in areas such as Software, Software development, Operational semantics and Knowledge representation and reasoning. His study focuses on the intersection of Autonomous agent and fields such as Software agent with connections in the field of Know-how.
Michael Luck mostly deals with Multi-agent system, Knowledge management, Autonomous agent, Software engineering and Artificial intelligence. His Multi-agent system research incorporates elements of Distributed computing, Management science and Systems engineering. His studies deal with areas such as Normative, Process and Process management as well as Knowledge management.
His Autonomous agent study combines topics in areas such as Intelligent agent, Agent architecture and Risk analysis. His Software engineering research incorporates themes from Software and Agent-oriented software engineering. His study ties his expertise on Norm together with the subject of Artificial intelligence.
His main research concerns Knowledge management, Norm, Risk analysis, Artificial intelligence and Distributed computing. He has researched Knowledge management in several fields, including Quality, Set, Incentive, Process and Process management. His Risk analysis study incorporates themes from Management science and Mechanism.
His biological study deals with issues like Multi-agent system, which deal with fields such as Software deployment, Swarm robotics and Market fragmentation. His study looks at the relationship between Artificial intelligence and fields such as Computer vision, as well as how they intersect with chemical problems. In his study, Software engineering is inextricably linked to Interoperability, which falls within the broad field of Software.
Norm, Knowledge management, Artificial intelligence, Process and Risk analysis are his primary areas of study. His research integrates issues of Autonomous agent, Software engineering and Theory of Forms in his study of Knowledge management. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Preference and Flexibility.
His biological study spans a wide range of topics, including Source code and Normative. His studies in Risk analysis integrate themes in fields like Multi-agent system and Operations management. The study incorporates disciplines such as Phase and Intensive care medicine in addition to Multi-agent system.
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TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
W. T. Teacy;Jigar Patel;Nicholas R. Jennings;Michael Luck.
Agent Technology: Enabling Next Generation Computing (A Roadmap for Agent Based Computing)
Michael Luck;Peter McBurney;Chris Preist.
Understanding Agent Systems
Mark d'Inverno;Michael Luck.
A Formal Specification of dMARS
Mark d'Inverno;David Kinny;Michael Luck;Michael Wooldridge.
Agent technology, Computing as Interaction: A Roadmap for Agent Based Computing
M Luck;P McBurney;O Shehory;S Willmott.
A Normative Framework for Agent-Based Systems
Fabiola Lopez y Lopez;Michael Luck;Mark d'Inverno.
A Formal Framework for Agency and Autonomy
Michael Luck;Mark d'Inverno.
Agent-based formation of virtual organisations
Timothy J. Norman;Alun Preece;Stuart Chalmers;Nicholas R. Jennings.
Applying Artificial Intelligence to Virtual Reality: Intelligent Virtual Environments
Michael Luck;Ruth Aylett.
Plagiarism in programming assignments
M. Joy;M. Luck.
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