World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7070
World Ranking
9698
National Ranking
23

Overview

Michael Winikoff is affiliated with Victoria University of Wellington in New Zealand and has contributed primarily to the field of computer science, with a strong focus on artificial intelligence and multi-agent systems. Their work spans several subfields including artificial intelligence, information systems and management, human-computer interaction, safety, risk, reliability and quality, and management information systems.

The scientist's research topics cover a range of areas such as:

  • Explainable Artificial Intelligence (XAI)
  • Multi-Agent Systems and Negotiation
  • Logic, Reasoning, and Knowledge
  • Safety Systems Engineering in Autonomy
  • Adversarial Robustness in Machine Learning
  • Business Process Modeling and Analysis
  • Innovative Human-Technology Interaction

Michael Winikoff has published frequently in venues that include:

  • Autonomous Agents and Multi-Agent Systems
  • arXiv (Cornell University)
  • Journal of the Royal Society of New Zealand
  • Artificial Intelligence
  • Life

Some recent papers authored by the scientist include:

  • "Why bad coffee? Explaining BDI agent behaviour with valuings," 2021, published in Artificial Intelligence
  • "The Advent of Digital Productivity Assistants: The Case of Microsoft MyAnalytics," 2021, published in Proceedings of the Annual Hawaii International Conference on System Sciences

They have also shared authorship with frequent collaborators such as Viviana Mascardi, Г. А. Сидоренко, Frank Dignum, Michael Fisher, and Kristin Yvonne Rozier.

Their scholarly contributions include books published with Springer Science+Business Media, with titles such as:

  • Explainable and Transparent AI and Multi-Agent Systems (2021)
  • Engineering Multi-Agent Systems (2020 and 2022 editions)

Best Publications

  • Developing Intelligent Agent Systems: A Practical Guide

    Lin Padgham;Michael Winikoff

  • Prometheus: a methodology for developing intelligent agents

    Lin Padgham;Michael Winikoff

  • JACK intelligent agents: an industrial strength platform

    Michael Winikoff

  • Comparing agent-oriented methodologies

    Khanh Hoa Dam;Michael Winikoff

  • Declarative and procedural goals in intelligent agent systems

    Michael Winikoff;Lin Padgham;James Harland;John Thangarajah

  • Prometheus: a methodology for developing intelligent agents

    Lin Padgham;Michael Winikoff

  • Agent-oriented Information Systems IV

    Manuel Kolp;Paolo Bresciani;Brian Hendersen-Sellers;Michael Winikoff

  • Detecting & avoiding interference between goals in intelligent agents

    John Thangarajah;Lin Padgham;Michael Winikoff

  • Debugging multi-agent systems using design artifacts: the case of interaction protocols

    David Poutakidis;Lin Padgham;Michael Winikoff

  • Prometheus: A Pragmatic Methodology for Engineering Intelligent Agents

    Lin Padgham;Michael Winikoff

  • Goals in agent systems: a unifying framework

    M. Birna van Riemsdijk;Mehdi Dastani;Michael Winikoff

  • Implementing commitment-based interactions

    Michael Winikoff

  • Simplifying the Development of Intelligent Agents

    Michael Winikoff;Lin Padgham;James Harland

  • Tool support for agent development using the Prometheus methodology

    L. Padgham;John Thangarajah;M. Winikoff

  • Prometheus: a practical agent oriented methodology

    Lin Padgham;Michael Winikoff

  • Detecting & exploiting positive goal interaction in intelligent agents

    John Thangarajah;Lin Padgham;Michael Winikoff

  • Adding debugging support to the Prometheus methodology

    Lin Padgham;Michael Winikoff;David Poutakidis

  • Enhancing commitment machines

    Michael Winikoff;Wei Liu;James Harland

  • Programming in Lygon: An Overview

    James Harland;David J. Pym;Michael Winikoff

  • Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems

    Kate Larson;Michael Winikoff;Sanmay Das;Edmund Durfee

  • Prometheus design tool

    John Thangarajah;Lin Padgham;Michael Winikoff

Frequent Co-Authors

Lin Padgham
Lin Padgham RMIT University
Frank Dignum
Frank Dignum Umeå University
Brian Henderson-Sellers
Brian Henderson-Sellers University of Technology Sydney
Mehdi Dastani
Mehdi Dastani Utrecht University
Tim Miller
Tim Miller University of Queensland
Virginia Dignum
Virginia Dignum Umeå University
Zahir Tari
Zahir Tari RMIT University
Michael Fisher
Michael Fisher University of Manchester
Danny Weyns
Danny Weyns KU Leuven
Alessandro Ricci
Alessandro Ricci University of Bologna

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