H. David Mathias

According to our database, H. David Mathias authored at least 28 papers between 1992 and 2023.

Collaborative distances:

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

2023

Pid-Inspired Modifications in Response Threshold Models In Swarm Intelligent Systems.

Maryam Kebari, Annie S. Wu, H. David Mathias

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation.

H. David Mathias, Annie S. Wu, Daniel Dang

ACM Trans. Evol. Learn. Optim., 2022

2021

Evolutionary Optimization of Cooperative Strategies for the Iterated Prisoner's Dilemma.

Jessie Finocchiaro, H. David Mathias

IEEE Trans. Games, 2021

Evolved response thresholds generalize across problem instances for a deterministic-response multiagent system.

H. David Mathias, Annie S. Wu, Daniel Dang

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Decentralized Swarm Desynchronization via Inter-agent Variation for Logistical Resupply.

Annie S. Wu, Joseph P. Giordano, H. David Mathias, Arjun Pherwani

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

A Biologically-Inspired Model for Mass Extinction in Genetic Algorithms.

Kaelan Engholdt, H. David Mathias

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Comparison of Desynchronization Methods for a Decentralized Swarm on a Logistical Resupply Problem.

Joseph P. Giordano, Annie S. Wu, Arjun Pherwani, H. David Mathias

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

A parallel two-stage genetic algorithm for route planning.

H. David Mathias, Samantha S. Foley

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Effects of Response Threshold Distribution on Dynamic Division of Labor in Decentralized Swarms.

Annie S. Wu, H. David Mathias, Joseph P. Giordano, Anthony Hevia

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Improving Multi-Agent System Coordination Via Intensity Variation.

H. David Mathias, Annie S. Wu, Laik Ruetten, Eric Coursin

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Variable Response Duration Promotes Self-organization in Decentralized Swarms.

Kaelan Engholdt, H. David Mathias, Annie S. Wu

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization While Mitigating Convergence to Sink States.

Annie S. Wu, H. David Mathias

Proceedings of the Swarm Intelligence - 12th International Conference, 2020

Heterogeneous Response Intensity Ranges and Response Probability Improve Goal Achievement in Multi-agent Systems.

H. David Mathias, Annie S. Wu, Laik Ruetten

Proceedings of the Swarm Intelligence - 12th International Conference, 2020

2019

Improving a Genetic Algorithm for Route Planning Using Parallelism with Speculative Execution.

H. David Mathias, Samantha S. Foley

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Evolving cooperation for the iterated prisoner's dilemma.

Jessica Finocchiaro, H. David Mathias

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2017

Enhanced genetic path planning for autonomous flight.

Vincent R. Ragusa, H. David Mathias, Vera A. Kazakova, Annie S. Wu

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Social trends in the iterated prisoner's dilemma.

Jessica Finocchiaro, H. David Mathias

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Micro Aerial Vehicle Path Planning and Flight with a Multi-objective Genetic Algorithm.

H. David Mathias, Vincent R. Ragusa

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

An empirical study of crossover and mass extinction in a genetic algorithm for pathfinding in a continuous environment.

H. David Mathias, Vincent R. Ragusa

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

1998

Exact Learning of Discretized Geometric Concepts.

Nader H. Bshouty, Paul W. Goldberg, Sally A. Goldman, H. David Mathias

SIAM J. Comput., 1998

Noise-Tolerant Distribution-Free Learning of General Geometric Concepts.

Nader H. Bshouty, Sally A. Goldman, H. David Mathias, Subhash Suri, Hisao Tamaki

J. ACM, 1998

Noise-Tolerant Parallel Learning of Geometric Concepts.

Nader H. Bshouty, Sally A. Goldman, H. David Mathias

Inf. Comput., 1998

1997

A Model of Interactive Teaching.

H. David Mathias

J. Comput. Syst. Sci., 1997

1996

Teaching a Smarter Learner.

Sally A. Goldman, H. David Mathias

J. Comput. Syst. Sci., 1996

1995

DNF - If You Can't Learn'em, Teach'em: An Interactive Model of Teaching.

H. David Mathias

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994

Learning Unions of Boxes with Membership and Equivalence Queries.

Paul W. Goldberg, Sally A. Goldman, H. David Mathias

Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

1993

Teaching a Smart Learner.

Sally A. Goldman, H. David Mathias

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992

Learning <i>k</i>-Term DNF Formulas with an Incomplete Membership Oracle.

Sally A. Goldman, H. David Mathias

Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992