Evolution of reinforcement learning in uncertain environments: Emergence of risk-aversion and matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve
a goal from interactions with the environment. Using Artificial Life techniques we derive …
a goal from interactions with the environment. Using Artificial Life techniques we derive …
Classification of Discrete Dynamical Systems Based on Transients
In order to develop systems capable of artificial evolution, we need to identify which systems
can produce complex behavior. We present a novel classification method applicable to any …
can produce complex behavior. We present a novel classification method applicable to any …
Improving genetic search for one-dimensional cellular automata, using heuristics related to their dynamic behavior forecast
GMB Oliveira, PPB De Oliveira… - Proceedings of the 2001 …, 2001 - ieeexplore.ieee.org
As part of the comprehensive theme of the relationships between dynamic systems and
computational theories, a very active area of research has been the relationships between …
computational theories, a very active area of research has been the relationships between …
Density-conserving affine continuous cellular automata solving the relaxed density classification problem
The focus of this paper is on the density classification problem in the context of affine
continuous cellular automata. Although such cellular automata cannot solve this problem in …
continuous cellular automata. Although such cellular automata cannot solve this problem in …
Evolving FPGA based cellular automata
R Porter, N Bergmann - Simulated Evolution and Learning: Second Asia …, 1999 - Springer
Cellular Automata architectures are attractive due to their fine grain parallelism, simple
computational structures and local routing resources. Some researchers have used genetic …
computational structures and local routing resources. Some researchers have used genetic …
Evolving continuous cellular automata for aesthetic objectives
J Heaton - Genetic Programming and Evolvable Machines, 2019 - Springer
We present MergeLife, a genetic algorithm (GA) capable of evolving continuous cellular
automata (CA) that generate full color dynamic animations according to aesthetic user …
automata (CA) that generate full color dynamic animations according to aesthetic user …
An intelligent approach towards automatic shape modelling and object extraction from satellite images using cellular automata-based algorithms
PV Arun, SK Katiyar - GIScience & Remote Sensing, 2013 - Taylor & Francis
Automatic feature extraction has witnessed the use of many intelligent methodologies over
the past decade. However, inadequate modelling of feature shape and contextual …
the past decade. However, inadequate modelling of feature shape and contextual …
A comparison of a communication strategies in cooperative learning
In the wild groups of hyenas are often observed to cooperate in driving lions away from a kill
in order to claim it for themselves. Because lions are much larger and can easily injure or kill …
in order to claim it for themselves. Because lions are much larger and can easily injure or kill …
Computational hierarchy of elementary cellular automata
The complexity of cellular automata is traditionally measured by their computational
capacity. However, it is difficult to choose a challenging set of computational tasks suitable …
capacity. However, it is difficult to choose a challenging set of computational tasks suitable …
An evolutionary view on reversible shift-invariant transformations
We consider the problem of evolving a particular kind of shift-invariant transformation–
namely, Reversible Cellular Automata (RCA) defined by conserved landscape rules–using …
namely, Reversible Cellular Automata (RCA) defined by conserved landscape rules–using …