Michael W. Floyd

According to our database, Michael W. Floyd authored at least 45 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Counterfactual-Based Synthetic Case Generation.

Anik Sen, Mallika Mainali, Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Matthew Molineaux, J. T. Turner, Rosina O. Weber

Proceedings of the Case-Based Reasoning Research and Development, 2024

Aligning to Human Decision-Makers in Military Medical Triage.

Matthew Molineaux, Rosina O. Weber, Michael W. Floyd, David H. Ménager, Othalia Larue, Ursula Addison, Ray Kulhanek, Noah Reifsnyder, Christopher B. Rauch, Mallika Mainali, Anik Sen, Prateek Goel, Justin Karneeb, J. T. Turner, John Meyer

Proceedings of the Case-Based Reasoning Research and Development, 2024

Algorithmic Decision-Making in Difficult Scenarios.

Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Mallika Mainali, Matthew Molineaux, Adam Pease, Anik Sen, J. T. Turner, Rosina Weber

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2022

Self-directed Learning of Action Models using Exploratory Planning.

Dustin Dannenhauer, Matthew Molineaux, Michael W. Floyd, Noah Reifsnyder, David W. Aha

CoRR, 2022

2021

HTN Learning via Transfer Learning of Domain Landmarks.

Greg Pennisi, Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Hector Muñoz-Avila, Jeff Heflin, Kalyan Moy Gupta

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

Exploiting Text Data to Improve Critical Care Mortality Prediction.

Bryan Auslander, Kalyan Moy Gupta, Michael W. Floyd, Sam Blisard, David W. Aha

Proceedings of the IEEE Globecom Workshops, 2020

2019

Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence.

Dustin Dannenhauer, Michael W. Floyd, Jonathan Decker, David W. Aha

CoRR, 2019

NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery.

J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates

Proceedings of the Case-Based Reasoning Research and Development, 2019

Workshop preface.

Antonio A. Sánchez-Ruiz, Michael W. Floyd

Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

2018

Supplemental observation acquisition for learning by observation agents.

Michael W. Floyd, Babak Esfandiari

Appl. Intell., 2018

Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat.

Justin Karneeb, Michael W. Floyd, Philip Moore, David W. Aha

AI Commun., 2018

Autonomous Swarm Agents Using Case-Based Reasoning.

Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontañón, Miltos Petridis

Proceedings of the Artificial Intelligence XXXV, 2018

Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks.

J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2018

Special Track on Case-Based Reasoning.

Stelios Kapetanakis, Michael W. Floyd

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Human-Agent Teaming as a Common Problem for Goal Reasoning.

Matthew Molineaux, Michael W. Floyd, Dustin Dannenhauer, David W. Aha

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Using explanations to provide transparency during trust-guided behavior adaptation.

Michael W. Floyd, David W. Aha

AI Commun., 2017

A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat.

Michael W. Floyd, Justin Karneeb, Philip Moore, David W. Aha

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Case-Based Team Recognition Using Learned Opponent Models.

Michael W. Floyd, Justin Karneeb, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2017

Towards Deception Detection in a Language-Driven Game.

Will Hancock, Michael W. Floyd, Matthew Molineaux, David W. Aha

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Using Deep Learning to Automate Feature Modeling in Learning by Observation.

Michael W. Floyd, J. T. Turner, David W. Aha

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study.

Michael W. Floyd, J. T. Turner, David W. Aha

Proceedings of the 2017 AAAI Spring Symposia, 2017

Dynamic Goal Recognition Using Windowed Action Sequences.

David H. Ménager, Dongkyu Choi, Michael W. Floyd, Christine Task, David W. Aha

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Semantic Classification of Utterances in a Language-Driven Game.

Kellen Gillespie, Michael W. Floyd, Matthew Molineaux, Swaroop Vattam, David W. Aha

Proceedings of the Computer Games - 5th Workshop on Computer Games, 2016

Incorporating Transparency During Trust-Guided Behavior Adaptation.

Michael W. Floyd, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2016

2015

Trust-Guided Behavior Adaptation Using Case-Based Reasoning.

Michael W. Floyd, Michael Drinkwater, David W. Aha

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Improving Trust-Guided Behavior Adaptation Using Operator Feedback.

Michael W. Floyd, Michael Drinkwater, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2015

Case-Based Policy and Goal Recognition.

Hayley Borck, Justin Karneeb, Michael W. Floyd, Ron Alford, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2015

Learning to Estimate: A Case-Based Approach to Task Execution Prediction.

Bryan Auslander, Michael W. Floyd, Thomas Apker, Benjamin Johnson, Mark Roberts, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2015

Error Tolerant Plan Recognition: An Empirical Investigation.

Swaroop Vattam, David W. Aha, Michael W. Floyd

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014

Adapting Autonomous Behavior Using an Inverse Trust Estimation.

Michael W. Floyd, Michael Drinkwater, David W. Aha

Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Case-Based Plan Recognition Using Action Sequence Graphs.

Swaroop Vattam, David W. Aha, Michael W. Floyd

Proceedings of the Case-Based Reasoning Research and Development, 2014

How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust.

Michael W. Floyd, Michael Drinkwater, David W. Aha

Proceedings of the Case-Based Reasoning Research and Development, 2014

Adapting Autonomous Behavior Based on an Estimate of an Operator's Trust.

Michael W. Floyd, Michael Drinkwater, David W. Aha

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013

A Comparison of Case Acquisition Strategies for Learning from Observations of State-Based Experts.

Santiago Ontañón, Michael W. Floyd

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Special Track on Case-Based Reasoning.

Michael W. Floyd, Santiago Ontañón

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Analysis and Cleaning of User Traces Through Comparison of Multiple Traces.

Michael William Floyd, Babak Esfandiari

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

2012

Case-Based Learning by Observation in Robotics Using a Dynamic Case Representation.

Michael William Floyd, Mehmet Vefa Bicakci, Babak Esfandiari

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Special Track on Case-Based Reasoning.

Michael W. Floyd

Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011

A Case-Based Reasoning Framework for Developing Agents Using Learning by Observation.

Michael W. Floyd, Babak Esfandiari

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Supplemental Case Acquisition Using Mixed-Initiative Control.

Michael W. Floyd, Babak Esfandiari

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2010

Creation of DEVS models using imitation learning.

Michael W. Floyd, Gabriel A. Wainer

Proceedings of the SummerSim '10, 2010

2009

An Active Approach to Automatic Case Generation.

Michael W. Floyd, Babak Esfandiari

Proceedings of the Case-Based Reasoning Research and Development, 2009

2008

A Case-Based Reasoning Approach to Imitating RoboCup Players.

Michael W. Floyd, Babak Esfandiari, Kevin Lam

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Considerations for Real-Time Spatially-Aware Case-Based Reasoning: A Case Study in Robotic Soccer Imitation.

Michael W. Floyd, Alan Davoust, Babak Esfandiari

Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008

Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning.

Alan Davoust, Michael W. Floyd, Babak Esfandiari

Proceedings of the Advances in Artificial Intelligence , 2008