Artificial gene regulatory networks—a review

S Cussat-Blanc, K Harrington, W Banzhaf - Artificial life, 2019 - ieeexplore.ieee.org
In nature, gene regulatory networks are a key mediator between the information stored in the
DNA of living organisms (their genotype) and the structural and behavioral expression this …

[图书][B] Artificial chemistries

W Banzhaf, L Yamamoto - 2015 - books.google.com
An introduction to the fundamental concepts of the emerging field of Artificial Chemistries,
covering both theory and practical applications. The field of Artificial Life (ALife) is now firmly …

Improving evolvability of morphologies and controllers of developmental soft-bodied robots with novelty search

M Joachimczak, R Suzuki, T Arita - Frontiers in Robotics and AI, 2015 - frontiersin.org
Novelty search is an evolutionary search algorithm based on the superficially contradictory
idea that abandoning goal-focused fitness function altogether can lead to the discovery of …

Using the Genetic Regulatory evolving Artificial Networks (GReaNs) platform for signal processing, animat control, and artificial multicellular development

B Wróbel, M Joachimczak - … Development and Learning in Artificial Neural …, 2014 - Springer
Building a system that allows for pattern formation and morphogenesis is a first step towards
a biologically-inspired developmental-evolutionary approach to generate complex neural …

Evolving networks processing signals with a mixed paradigm, inspired by gene regulatory networks and spiking neurons

B Wróbel, A Abdelmotaleb, M Joachimczak - Bio-Inspired Models of …, 2014 - Springer
In this paper we extend our artificial life platform, called GReaNs (for Genetic Regulatory
evolving artificial Networks) to allow evolution of spiking neural networks performing simple …

Art in the sciences of the artificial

KO Stanley - Leonardo, 2018 - direct.mit.edu
This position article argues that the sciences of the artificial (artificial intelligence and
artificial life) have a special relationship to art that is absent from much of science. Just as art …

Autapses enable temporal pattern recognition in spiking neural networks

M Yaqoob, V Steuber, B Wrobel - bioRxiv, 2023 - biorxiv.org
Most sensory stimuli are temporal in structure. How action potentials encode the information
incoming from sensory stimuli remains one of the central research questions in …

Indirectly encoding running and jumping sodarace creatures for artificial life

P Szerlip, KO Stanley - Artificial Life, 2015 - direct.mit.edu
This article presents a lightweight platform for evolving two-dimensional artificial creatures.
The aim of providing such a platform is to reduce the barrier to entry for researchers …

The Evolution, Analysis, and Design of Minimal Spiking Neural Networks for Temporal Pattern Recognition

M Yaqoob - 2023 - uhra.herts.ac.uk
All sensory stimuli are temporal in structure. How a pattern of action potentials encodes the
information received from the sensory stimuli is an important research question in …

volving Spiking Neural Networks for Temporal Pattern Recognition in the Presence of Noise

A Abdelmotaleb, N Davey, M Schilstra… - Artificial Life …, 2014 - direct.mit.edu
Nervous systems of biological organisms use temporal patterns of spikes to encode sensory
input, but the mechanisms that underlie the recognition of such patterns are unclear. In the …