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Published in ALIFE 2024: Exploring new frontiers: Proceedings of the 2024 Artificial Life Conference, 2024
This paper examines the role of spatial structure with relation to early adaptive processes.
Published in ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, 2023
This paper examines the role of ecological networks in the initiation of egalitarion major evolutionary transitions in a digital artificial ecology.
Recommended citation: Sydney Leither, Max Foreback, David A. Baum, Emily Dolson; July 24–28, 2023. "Interaction Strengths Affect Whether Ecological Networks Promote the Initiation of Egalitarian Major Transitions." Proceedings of the ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. Online. (pp. 73). ASME. https://doi.org/10.1162/isal_a_00686
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Published in ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, 2023
This paper examines the role of abiotic parameters in the initiation of egalitarion major evolutionary transitions in a digital artificial ecology.
Recommended citation: Max Foreback, Sydney Leither, David A. Baum, Emily Dolson; July 24–28, 2023. "The Role of Abiotic Parameters in the Promotion of Egalitarian Major Evolutionary Transitions." Proceedings of the ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. Online. (pp. 78). ASME. https://doi.org/10.1162/isal_a_00692
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Published in Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
Using a simple genetic algorithm to investigate adaptive processes in a digital artificial ecology.
Recommended citation: Max Foreback, Sydney Leither, and Emily Dolson. 2023. Using Evolutionary Computation to Find Parameters that Promote Egalitarian Major Evolutionary Transitions. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO 2023 Companion). Association for Computing Machinery, New York, NY, USA, 135–138. https://doi.org/10.1145/3583133.3590704.
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