What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Software
Artificial intelligence, Software engineering, Prolog, Agent-oriented software engineering and Software are his primary areas of study.
The various areas that Leon Sterling examines in his Artificial intelligence study include Machine learning, Control theory and Monotonic function.
His Software engineering study combines topics from a wide range of disciplines, such as Gaia methodology and Systems engineering.
His study on Prolog is covered under Programming language.
His Agent-oriented software engineering study combines topics in areas such as Requirements analysis, Requirements engineering, Requirements elicitation, Software agent and Multi-agent system.
His work on Software development as part of general Software study is frequently linked to Downtime, bridging the gap between disciplines.
His most cited work include:
- The art of Prolog (1133 citations)
- The Art of Prolog: Advanced Programming Techniques (411 citations)
- Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology (236 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Programming language, Software engineering, Prolog, Knowledge management and Logic programming.
His Programming language study frequently draws connections between related disciplines such as Theoretical computer science.
His research on Software engineering also deals with topics like
- Agent-oriented software engineering which connect with Multi-agent system,
- Systems engineering that intertwine with fields like Software system.
His Prolog study introduces a deeper knowledge of Artificial intelligence.
In his study, Quality is strongly linked to Process, which falls under the umbrella field of Knowledge management.
His work carried out in the field of Logic programming brings together such families of science as Constraint programming and Concurrent constraint logic programming.
He most often published in these fields:
- Programming language (22.84%)
- Software engineering (20.33%)
- Prolog (13.93%)
What were the highlights of his more recent work (between 2010-2020)?
- Knowledge management (12.53%)
- Quality (5.85%)
- Process (7.80%)
In recent papers he was focusing on the following fields of study:
Leon Sterling mainly focuses on Knowledge management, Quality, Process, Software engineering and Requirements engineering.
Leon Sterling interconnects Domain, Variety, Software system and Product in the investigation of issues within Knowledge management.
His Quality research is multidisciplinary, incorporating perspectives in Sociotechnical system, Systems design and Management science.
His research in Process intersects with topics in Design technology, End user, Living lab and Engineering design process.
His Software engineering study incorporates themes from Software, Software development, Software development process and Agent-oriented software engineering.
He combines subjects such as Ontology and Systems engineering with his study of Software.
Between 2010 and 2020, his most popular works were:
- Emotion-led modelling for people-oriented requirements engineering (41 citations)
- Tools for participation: intergenerational technology design for the home (41 citations)
- Requirements Elicitation and Specification Using the Agent Paradigm: The Case Study of an Aircraft Turnaround Simulator (29 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Software
The scientist’s investigation covers issues in Process, Mental health, Knowledge management, Simulation and Social robot.
His Process study incorporates themes from Design technology, End user, Living lab and Engineering design process.
His Mental health study integrates concerns from other disciplines, such as Cognitive behavioral therapy, Digital health and Peer support.
Leon Sterling works mostly in the field of Knowledge management, limiting it down to concerns involving Requirements engineering and, occasionally, Domain, Software development process and Usability.
His Simulation research is multidisciplinary, relying on both Humanoid robot, Deliverable, Agent-oriented software engineering, Software and Software engineering.
His Humanoid robot study results in a more complete grasp of Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s
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