M
Michael Winikoff
Researcher at Victoria University of Wellington
Publications - 187
Citations - 5531
Michael Winikoff is an academic researcher from Victoria University of Wellington. The author has contributed to research in topics: Multi-agent system & Logic programming. The author has an hindex of 34, co-authored 183 publications receiving 5270 citations. Previous affiliations of Michael Winikoff include RMIT University & Melbourne Institute of Technology.
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Book
Developing Intelligent Agent Systems: A Practical Guide
Lin Padgham,Michael Winikoff +1 more
TL;DR: Developing Intelligent Agent Systems not only answers the questions 'what are agents?' and 'why are they useful?' but also the crucial question: 'how do I design and build intelligent agent systems?'
Proceedings ArticleDOI
Prometheus: a methodology for developing intelligent agents
Lin Padgham,Michael Winikoff +1 more
TL;DR: The Prometheus methodology is presented, which has been developed over several years in collaboration with Agent Oriented Software, and is a detailed and complete methodology for developing intelligent agents which has evolved out of industrial and pedagogical experience.
Book ChapterDOI
Prometheus: a methodology for developing intelligent agents
Lin Padgham,Michael Winikoff +1 more
TL;DR: The Prometheus methodology is presented, which has been developed over several years in collaboration with Agent Oriented Software, and is a detailed and complete methodology for developing intelligent agents which has evolved out of industrial and pedagogical experience.
Proceedings Article
Declarative and procedural goals in intelligent agent systems
TL;DR: This paper presents a high-level plan notation with goals and gives its formal semantics, and shows how the use of declarative information permits reasoning to be performed on goals.
Book ChapterDOI
Comparing agent-oriented methodologies
Khanh Hoa Dam,Michael Winikoff +1 more
TL;DR: A comparison of three prominent agent- oriented methodologies: MaSE, Prometheus and Tropos is presented based upon an attribute-based framework which addresses four major areas: concepts, modelling language, process and pragmatics.