Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Julian F Miller"'
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
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
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
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....
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
Publikováno v:
Natural Computing Series ISBN: 9783319658247
Representation is a crucial concept in classical computing. Unconventional computational devices pose a series of challenges to representational issues, including unary analogue encodings, the representation of inputs and outputs, and sometimes the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab4e69b690d55de3227a3d41e7b72b42
https://doi.org/10.1007/978-3-319-65826-1_12
https://doi.org/10.1007/978-3-319-65826-1_12
Publikováno v:
Natural Computing Series ISBN: 9783319658247
All computing is physical, requiring a substrate in which to perform the computation. Conventional computation (CCOMP), based on the Church-Turing thesis and the von Neumann architecture, is built upon logical states that are engineered into the subs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::043bdb68299a58afa10ace1b43feeff9
https://doi.org/10.1007/978-3-319-65826-1_3
https://doi.org/10.1007/978-3-319-65826-1_3
Autor:
Julian F. Miller
Publikováno v:
Narrating Complexity ISBN: 9783319647128
It is commonplace for human beings to manipulate and control systems that they only understand at a behavioural level. Yet we expect software engineers to build software systems by assembling instructions that are extremely fragile and require extrem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1fe9abd43d6bcde5b1dbe48794f4ad8
https://doi.org/10.1007/978-3-319-64714-2_15
https://doi.org/10.1007/978-3-319-64714-2_15