Blar i ODA Open Digital Archive på forfatter "Glover, Tom Eivind"
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Comparison and benchmarking of reservoir computing using cellular automata and random boolean networks as substrates
Jahren, Ruben (ACIT;2022, Master thesis, 2022)Reservoir Computing is an emerging concept in artificial intelligence derived from Recurrent Neural Networks, which utilizes an untrained reservoir substrate to memorize and separate input in such a way that it may be ... -
The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata
Glover, Tom Eivind; Lind, Pedro; Yazidi, Anis; Osipov, Evgeny; Nichele, Stefano (Conference object, 2021)Reservoir Computing with Cellular Automata (ReCA) is a promising concept by virtue of its potential for efficient hardware implementation and theoretical understanding of Cellular Auotmata (CA). However, ReCA has so far ... -
Investigating Rules and Parameters of Reservoir Computing with Elementary Cellular Automata, with a Criticism of Rule 90 and the Five-Bit Memory Benchmark
Glover, Tom Eivind; Lind, Pedro; Yazidi, Anis; Osipov, Evgeny; Nichele, Stefano (Peer reviewed; Journal article, 2023)Reservoir computing with cellular automata (ReCAs) is a promising concept by virtue of its potential for effective hardware implementation. In this paper, we explore elementary cellular automata rules in the context of ... -
Minimum Equivalence in Random Boolean Networks, Elementary Cellular Automata, and Beyond
Glover, Tom Eivind; Jahren, Christian Ruben; Huse Ramstad, Ola; Nichele, Stefano (Peer reviewed; Conference object, 2023)Random Boolean networks (RBN) and Cellular Automata (CA) operate in a very similar way. They update their state with simple deterministic functions called Boolean function or Transition Table (TT), both being essentially ...