What is he best known for?
The fields of study he is best known for:
- Programming language
- Artificial intelligence
- Software
Michael Winikoff focuses on Software engineering, Intelligent agent, Process, Systems engineering and Agent architecture.
In his research, he performs multidisciplinary study on Software engineering and Design tool.
He has included themes like Multi-agent system and Knowledge management in his Intelligent agent study.
His Process study combines topics in areas such as Debugger, Petri net, Deliverable and Operations research.
The Systems engineering study combines topics in areas such as Software design and Agent oriented software.
His biological study spans a wide range of topics, including Software, Software development and Software agent.
His most cited work include:
- Developing Intelligent Agent Systems: A Practical Guide (476 citations)
- Prometheus: a methodology for developing intelligent agents (249 citations)
- Declarative and procedural goals in intelligent agent systems (205 citations)
What are the main themes of his work throughout his whole career to date?
Michael Winikoff spends much of his time researching Software engineering, Artificial intelligence, Multi-agent system, Programming language and Systems engineering.
His work carried out in the field of Software engineering brings together such families of science as Software, Software development, Executable, Intelligent agent and Process.
Michael Winikoff does research in Intelligent agent, focusing on Agent architecture specifically.
His work in Artificial intelligence covers topics such as Testability which are related to areas like Code coverage and Software system.
His Multi-agent system research is multidisciplinary, relying on both Distributed computing, Engineering management, Software agent and Debugging, Algorithmic program debugging.
The various areas that Michael Winikoff examines in his Logic programming study include Prolog, Functional logic programming, Computational logic and Linear logic.
He most often published in these fields:
- Software engineering (30.61%)
- Artificial intelligence (16.84%)
- Multi-agent system (16.33%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (16.84%)
- Testability (4.08%)
- Software engineering (30.61%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Testability, Software engineering, Work and Software system.
His Intelligent decision support system study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Robotics, bridging the gap between disciplines.
His Testability study also includes fields such as
- Code coverage that connect with fields like Representation, Interaction design and Systems engineering,
- Verification and validation and related Construct.
His Software engineering research is multidisciplinary, incorporating elements of Activity diagram, Requirements elicitation and Software verification.
His Software system study also includes
- Adaptive system and related Software agent,
- Reliability engineering and Computer security most often made with reference to Function.
His Process study integrates concerns from other disciplines, such as Formal methods and Software.
Between 2013 and 2021, his most popular works were:
- On the testability of BDI agent systems (27 citations)
- No Pizza for You: Value-based Plan Selection in BDI Agents (25 citations)
- Engineering Multi-Agent Systems: State of Affairs and the Road Ahead (19 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Artificial intelligence
The scientist’s investigation covers issues in Artificial intelligence, Software, Testability, Programming language and Protocol.
His Artificial intelligence research incorporates elements of Plan, Code coverage and Operations research.
His Software research incorporates themes from Formal methods, Information retrieval and Metamodeling.
Michael Winikoff combines subjects such as Theoretical computer science, Software system, Software agent, Exception handling and Adaptive system with his study of Testability.
His study in Situated is interdisciplinary in nature, drawing from both Intelligent agent, Multi-agent system and Source code.
His research integrates issues of Variety and Continuous integration in his study of Intelligent agent.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
