Michael W. Floyd
Impact in
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning
- Reinforcement Learning in Robotics
- Artificial Intelligence in Games
- Multi-Agent Systems and Negotiation
- Machine Learning and Algorithms
Papers in
-
- AI-based Problem Solving and Planning 14
- Multi-Agent Systems and Negotiation 7
- Artificial Intelligence in Games 3
- Logic, Reasoning, and Knowledge 3
- Machine Learning and Data Classification 2
- Machine Learning and Algorithms 2
- Co-authors
- Babak Esfandiari (5 shared papers)David W. Aha (12 shared papers)Philip Moore (2 shared papers)D. M. Tennant (1 shared paper)M. J. Drinkwater (2 shared papers)Matthew Molineaux (2 shared papers)Gabriel Wainer (1 shared paper)Santiago Ontañón (1 shared paper)
- Journals
- Applied Intelligence (1 paper)AI Communications (2 papers)The Florida AI Research Society (7 papers)International Conference on Artificial Intelligence (1 paper)National Conference on Artificial Intelligence (3 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Michael W. Floyd
18 papers receiving 115 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 95
- Software 4
- Computer Vision and Pattern Recognition 19
- Control and Systems Engineering 20
- Social Psychology 14
Countries citing papers authored by Michael W. Floyd
This map shows the geographic impact of Michael W. Floyd's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael W. Floyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Floyd more than expected).
Fields of papers citing papers by Michael W. Floyd
This network shows the impact of papers produced by Michael W. Floyd. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael W. Floyd. The network helps show where Michael W. Floyd may publish in the future.
Co-authors
The 11 scholars most cited alongside Michael W. Floyd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Case-based Reasoning Approach to Imitating RoboCup Players | 2008 | 46 |
| 2 | 2011 | 18 | |
| 3 | 2017 | 8 | |
| 4 | 2017 | 7 | |
| 5 | Spy the Lie: Former CIA Officers Teach You How to Detect Deception | 2012 | 7 |
| 6 | Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation | 2012 | 6 |
| 7 | Goal Reasoning for an Autonomous Squad Member | 2015 | 6 |
| 8 | Trust-guided behavior adaptation using case-based reasoning | 2015 | 4 |
| 9 | 2018 | 4 | |
| 10 | Towards Deception Detection in a Language-Driven Game. | 2017 | 3 |
| 11 | Supplemental Case Acquisition Using Mixed-Initiative Control | 2011 | 3 |
| 12 | 2018 | 3 | |
| 13 | Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study. | 2017 | 2 |
| 14 | Case-Based Behavior Adaptation Using an Inverse Trust Metric | 2014 | 2 |
| 15 | Dynamic Goal Recognition Using Windowed Action Sequences. | 2017 | 2 |
| 16 | A Comparison of Case Acquisition Strategies for Learning from Observations of State-Based Experts. | 2013 | 1 |
| 17 | 2010 | 1 | |
| 18 | Using Deep Learning to Automate Feature Modeling in Learning by Observation. | 2017 | 1 |
| 19 | Error Tolerant Plan Recognition: An Empirical Investigation | 2015 | 1 |
| 20 | 2020 | 1 |
About Michael W. Floyd
Michael W. Floyd is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Software and Social Psychology, having authored 20 papers that have together received 126 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (14 papers), Multi-Agent Systems and Negotiation (7 papers), Artificial Intelligence in Games (3 papers), Logic, Reasoning, and Knowledge (3 papers), Robot Manipulation and Learning (2 papers), Guidance and Control Systems (2 papers), Machine Learning and Data Classification (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (95 citations), Software (4 citations), Computer Vision and Pattern Recognition (19 citations), Control and Systems Engineering (20 citations) and Social Psychology (14 citations). Michael W. Floyd has collaborated with scholars based in United States and Canada. Frequent co-authors include Babak Esfandiari, David W. Aha, Philip Moore, D. M. Tennant, M. J. Drinkwater, Matthew Molineaux, Gabriel Wainer, Santiago Ontañón, Swaroop Vattam and Dongkyu Choi. Their work appears in journals such as Applied Intelligence, AI Communications, The Florida AI Research Society, International Conference on Artificial Intelligence and National Conference on Artificial Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.