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H. David Mathias

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2020 – today

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2023
[c23]
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  - conf/gecco/KebariWM23
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Maryam Kebari, Annie S. Wu, H. David Mathias:
Pid-Inspired Modifications in Response Threshold Models In Swarm Intelligent Systems. GECCO 2023: 39-46
[i2]
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  - journals/corr/abs-2304-12385
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Maryam Kebari, Annie S. Wu, H. David Mathias:
PID-inspired modifications in response threshold models in swarm intelligent systems. CoRR abs/2304.12385 (2023)
2022
[j7]
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H. David Mathias, Annie S. Wu, Daniel Dang:
Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation. ACM Trans. Evol. Learn. Optim. 2(2): 5:1-5:30 (2022)
2021
[j6]
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Jessie Finocchiaro, H. David Mathias:
Evolutionary Optimization of Cooperative Strategies for the Iterated Prisoner's Dilemma. IEEE Trans. Games 13(2): 170-179 (2021)
[c22]
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Joseph P. Giordano, Annie S. Wu, Arjun Pherwani, H. David Mathias:
Comparison of Desynchronization Methods for a Decentralized Swarm on a Logistical Resupply Problem. AAMAS 2021: 1510-1511
[c21]
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Kaelan Engholdt, H. David Mathias:
A Biologically-Inspired Model for Mass Extinction in Genetic Algorithms. CEC 2021: 1078-1085
[c20]
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Annie S. Wu, Joseph P. Giordano, H. David Mathias, Arjun Pherwani:
Decentralized Swarm Desynchronization via Inter-agent Variation for Logistical Resupply. FLAIRS 2021
[c19]
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H. David Mathias, Annie S. Wu, Daniel Dang:
Evolved response thresholds generalize across problem instances for a deterministic-response multiagent system. GECCO Companion 2021: 73-74
[i1]
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  - journals/corr/abs-2106-06019
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H. David Mathias, Annie S. Wu, Daniel Dang:
Analysis of Evolved Response Thresholds for Decentralized Dynamic Task Allocation. CoRR abs/2106.06019 (2021)
2020
[c18]
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Annie S. Wu, H. David Mathias:
Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization While Mitigating Convergence to Sink States. ANTS Conference 2020: 107-120
[c17]
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H. David Mathias, Annie S. Wu, Laik Ruetten:
Heterogeneous Response Intensity Ranges and Response Probability Improve Goal Achievement in Multi-agent Systems. ANTS Conference 2020: 148-160
[c16]
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Kaelan Engholdt, H. David Mathias, Annie S. Wu:
Variable Response Duration Promotes Self-organization in Decentralized Swarms. BIOMA 2020: 17-28
[c15]
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H. David Mathias, Annie S. Wu, Laik Ruetten, Eric Coursin:
Improving Multi-Agent System Coordination Via Intensity Variation. FLAIRS 2020: 368-373
[c14]
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Annie S. Wu, H. David Mathias, Joseph P. Giordano, Anthony Hevia:
Effects of Response Threshold Distribution on Dynamic Division of Labor in Decentralized Swarms. FLAIRS 2020: 386-391
[c13]
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H. David Mathias, Samantha S. Foley:
A parallel two-stage genetic algorithm for route planning. GECCO Companion 2020: 1739-1746

2010 – 2019

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2019
[c12]
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Jessica Finocchiaro, H. David Mathias:
Evolving cooperation for the iterated prisoner's dilemma. GECCO (Companion) 2019: 199-200
[c11]
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H. David Mathias, Samantha S. Foley:
Improving a Genetic Algorithm for Route Planning Using Parallelism with Speculative Execution. PEARC 2019: 108:1-108:5
2017
[c10]
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Jessica Finocchiaro, H. David Mathias:
Social trends in the iterated prisoner's dilemma. GECCO (Companion) 2017: 23-24
[c9]
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  - conf/gecco/RagusaMKW17
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Vincent R. Ragusa, H. David Mathias, Vera A. Kazakova, Annie S. Wu:
Enhanced genetic path planning for autonomous flight. GECCO 2017: 1208-1215
2016
[c8]
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H. David Mathias, Vincent R. Ragusa:
An empirical study of crossover and mass extinction in a genetic algorithm for pathfinding in a continuous environment. CEC 2016: 4111-4118
[c7]
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H. David Mathias, Vincent R. Ragusa:
Micro Aerial Vehicle Path Planning and Flight with a Multi-objective Genetic Algorithm. IntelliSys (1) 2016: 107-124

1990 – 1999

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1998
[j5]
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Nader H. Bshouty, Sally A. Goldman, H. David Mathias:
Noise-Tolerant Parallel Learning of Geometric Concepts. Inf. Comput. 147(1): 89-110 (1998)
[j4]
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Nader H. Bshouty, Sally A. Goldman, H. David Mathias, Subhash Suri, Hisao Tamaki:
Noise-Tolerant Distribution-Free Learning of General Geometric Concepts. J. ACM 45(5): 863-890 (1998)
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Nader H. Bshouty, Paul W. Goldberg, Sally A. Goldman, H. David Mathias:
Exact Learning of Discretized Geometric Concepts. SIAM J. Comput. 28(2): 674-699 (1998)
1997
[j2]
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H. David Mathias:
A Model of Interactive Teaching. J. Comput. Syst. Sci. 54(3): 487-501 (1997)
1996
[j1]
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Sally A. Goldman, H. David Mathias:
Teaching a Smarter Learner. J. Comput. Syst. Sci. 52(2): 255-267 (1996)
[c6]
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Nader H. Bshouty, Sally A. Goldman, H. David Mathias, Subhash Suri, Hisao Tamaki:
Noise-Tolerant Distribution-Free Learning of General Geometric Concepts. STOC 1996: 151-160
1995
[c5]
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H. David Mathias:
DNF - If You Can't Learn'em, Teach'em: An Interactive Model of Teaching. COLT 1995: 222-229
[c4]
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Nader H. Bshouty, Sally A. Goldman, H. David Mathias:
Noise-Tolerant Parallel Learning of Geometric Concepts. COLT 1995: 345-352
1994
[c3]
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Paul W. Goldberg, Sally A. Goldman, H. David Mathias:
Learning Unions of Boxes with Membership and Equivalence Queries. COLT 1994: 198-207
1993
[c2]
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Sally A. Goldman, H. David Mathias:
Teaching a Smart Learner. COLT 1993: 67-76
1992
[c1]
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Sally A. Goldman, H. David Mathias:
Learning k-Term DNF Formulas with an Incomplete Membership Oracle. COLT 1992: 77-84

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