Zobrazeno 1 - 10
of 417
pro vyhledávání: '"Julian F Miller"'
Autor:
Wolfgang Banzhaf, James A. Foster, Simon Harding, Roman Kalkreuth, Gul Muhammad Khan, W. B. Langdon, Riccardo Poli, Stephen Smith, Susan Stepney, Martin Trefzer, Dennis G. Wilson
Publikováno v:
ACM SIGEVOlution. 15:1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d17c5af7ec39a056b236a7342061b06
https://doi.org/10.1145/3532942.3532943
https://doi.org/10.1145/3532942.3532943
Autor:
Julian F. Miller
Publikováno v:
Artificial life.
Artificial neural networks (ANNs) were originally inspired by the brain; however, very few models use evolution and development, both of which are fundamental to the construction of the brain. We describe a simple neural model, called IMPROBED, in wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38b061c6a5423d272d614d4cc226b462
https://pubmed.ncbi.nlm.nih.gov/34748632
https://pubmed.ncbi.nlm.nih.gov/34748632
Autor:
Julian F. Miller
Publikováno v:
Genetic Programming and Evolvable Machines. 21:129-168
Cartesian genetic programming, a well-established method of genetic programming, is approximately 20 years old. It represents solutions to computational problems as graphs. Its genetic encoding includes explicitly redundant genes which are well-known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::012be4c232607e258471cecf714b14ac
https://doi.org/10.1007/s10710-019-09360-6
https://doi.org/10.1007/s10710-019-09360-6
Autor:
Julian F. Miller
Publikováno v:
Natural Computing. 18:515-526
Modern computers allow a methodical search of possibly billions of experiments and the exploitation of interactions that are not known in advance. This enables a bottom-up process of design by assembling or configuring systems and testing the degree
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f11de0ee3e074aa7d7a3a27fc36c3037
https://doi.org/10.1007/s11047-019-09738-6
https://doi.org/10.1007/s11047-019-09738-6
Publikováno v:
Natural Computing Series ISBN: 9789811316869
We overview Reservoir Computing (RC) with physical systems from an Unconventional Computing (UC) perspective. We discuss challenges present in both fields, including encoding and representation, or how to manipulate and read information; ways to sear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1299918fb4809bb2c0c5d43d41c0def8
https://doi.org/10.1007/978-981-13-1687-6_7
https://doi.org/10.1007/978-981-13-1687-6_7
Autor:
Julian F. Miller
Publikováno v:
The 2020 Conference on Artificial Life.
We describe a neural model in which two evolved neural programs undergo development and form neural networks. The programs decide whether neurons and their dendrites move, change, die or replicate....
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c289c713f797c1927e53a3835d298e90
https://doi.org/10.1162/isal_a_00252
https://doi.org/10.1162/isal_a_00252
Publikováno v:
ECC : Emergence, Complexity and Computation book series
Adamatzky; Andrew and Kendon; Viv. ECC : Emergence, Complexity and Computation book series, 35, Springer, pp.23--71, 2020, From Astrophysics to Unconventional Computation, 978-3-030-15791-3. ⟨10.1007/978-3-030-15792-0_2⟩
From Astrophysics to Unconventional Computation ISBN: 9783030157913
Adamatzky; Andrew and Kendon; Viv. ECC : Emergence, Complexity and Computation book series, 35, Springer, pp.23--71, 2020, From Astrophysics to Unconventional Computation, 978-3-030-15791-3. ⟨10.1007/978-3-030-15792-0_2⟩
From Astrophysics to Unconventional Computation ISBN: 9783030157913
International audience; In general, the topology of Artificial Neural Networks (ANNs) is human-engineered and learning is merely the process of weight adjustment. However, it is well known that this can lead to sub-optimal solutions. Topology and Wei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c16f06fcbf5cf353f3665fd19c97495
https://hal.archives-ouvertes.fr/hal-02960439
https://hal.archives-ouvertes.fr/hal-02960439
Publikováno v:
Genetic and Evolutionary Computation ISBN: 9783030047344
GPTP
Genetic Programming Theory and Practice XVI
Banzhaf; Wolfgang and Spector; Lee and Sheneman; Leigh. Genetic Programming Theory and Practice XVI, Springer, pp.137--178, 2019, GEVO : Genetic and Evolutionary Computation book series, 978-3-030-04734-4
GPTP
Genetic Programming Theory and Practice XVI
Banzhaf; Wolfgang and Spector; Lee and Sheneman; Leigh. Genetic Programming Theory and Practice XVI, Springer, pp.137--178, 2019, GEVO : Genetic and Evolutionary Computation book series, 978-3-030-04734-4
International audience; A developmental model of an artificial neuron is presented. In this model, a pair of neural developmental programs develop an entire artificial neural network of arbitrary size. The pair of neural chromosomes are evolved using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678ab61672268b28964a3166c262bd5e
https://doi.org/10.1007/978-3-030-04735-1_8
https://doi.org/10.1007/978-3-030-04735-1_8
Autor:
Susan Stepney, Andrew Adamatzky
This book is a tribute to Julian Francis Miller's ideas and achievements in computer science, evolutionary algorithms and genetic programming, electronics, unconventional computing, artificial chemistry and theoretical biology. Leading international