Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Justin K Pugh"'
Publikováno v:
Frontiers in Robotics and AI, Vol 3 (2016)
While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization. Yet evolution in nature can be interpreted as more nuanced than a process of simple optimiza
Externí odkaz:
https://doaj.org/article/8292416d6504484db8032e02c4288cd9
Publikováno v:
Proceedings of the 14th European Conference on Artificial Life ECAL 2017.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f506ed33d4c2e81b95ff8439ec61ada3
https://doi.org/10.7551/ecal_a_088
https://doi.org/10.7551/ecal_a_088
Publikováno v:
GECCO (Companion)
The fields of artificial life and evolutionary robotics have seen growing interest in evolution as a source of creativity, as opposed to a tool for optimization. New intentionally divergent algorithms such as novelty search with local competition (NS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a26aab243aba59034c39ea12c7b960e
https://doi.org/10.1145/3067695.3075605
https://doi.org/10.1145/3067695.3075605
Publikováno v:
GECCO (Companion)
In a departure from conventional optimization where the goal is to find the best possible solution, a new class of evolutionary algorithms instead search for quality diversity (QD) -- a maximally diverse collection of individuals in which each member
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cbe9799dd66c745ce82f80ad8878c6a
https://doi.org/10.1145/2908961.2909000
https://doi.org/10.1145/2908961.2909000
Publikováno v:
Parallel Problem Solving from Nature – PPSN XIV ISBN: 9783319458229
PPSN
PPSN
Inspired by natural evolution’s affinity for discovering a wide variety of successful organisms, a new evolutionary search paradigm has emerged wherein the goal is not to find the single best solution but rather to collect a diversity of unique phe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9119a3b98d8b26cd8c347909f76d1a8
https://doi.org/10.1007/978-3-319-45823-6_82
https://doi.org/10.1007/978-3-319-45823-6_82
Publikováno v:
GECCO
In contrast to the conventional role of evolution in evolutionary computation (EC) as an optimization algorithm, a new class of evolutionary algorithms has emerged in recent years that instead aim to accumulate as diverse a collection of discoveries
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9a65025fc7c376e7dcebac0e8d91f61
https://doi.org/10.1145/2739480.2754664
https://doi.org/10.1145/2739480.2754664
Publikováno v:
Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems.
Neural plasticity and in particular Hebbian learning play an important role in many research areas related to artficial life. By allowing artificial neural networks (ANNs) to adjust their weights in real time, Hebbian ANNs can adapt over their lifeti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41b8c3462c41ace7025919c329a8166f
https://doi.org/10.7551/978-0-262-32621-6-ch034
https://doi.org/10.7551/978-0-262-32621-6-ch034
Autor:
Justin K. Pugh, Kenneth O. Stanley
Publikováno v:
GECCO
Natural brains effectively integrate multiple sensory modalities and act upon the world through multiple effector types. As researchers strive to evolve more sophisticated neural controllers, confronting the challenge of multimodality is becoming inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1274c530b37729438c64eb95d214b76
https://doi.org/10.1145/2463372.2463459
https://doi.org/10.1145/2463372.2463459
Publikováno v:
GECCO
The question of how to best design a communication architecture is becoming increasingly important for evolving autonomous multiagent systems. Directional reception of signals, a design feature of communication that appears in most animals, is presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e79ba0b0060073eb6b7397249e66677
https://doi.org/10.21236/ada588007
https://doi.org/10.21236/ada588007