artificial neural network is one of the most robust and reliable methods in online prediction of nonlinear incidents in machining. tool flank wear as a tool life criterion is an important task which is needed to be predicted during machining processes to establish an online tool life estimation system. in this study, an artificial neural network model was developed to predict the tool wear and ...

It is well recognised that von Neumann’s seminal abstraction of machine self-reproduction can be related to the reality of biological self-reproduction — albeit only in very general terms. On the other hand, the most thoroughly studied artificial evolutionary systems, incorporating meaningful selfreproduction, are the coreworld systems such as Tierra, Avida etc.; and these, in general, rely on ...

What is the relationship between the complexity and the fitness of evolved organisms, whether natural or artificial? It has been asserted, primarily based on empirical evidence, that the complexity of plants and animals increases as their fitness within a particular environment increases via evolution by natural selection (Bonner, 1988; McShea, 1996; Adami et al., 2000). We here derive an analy...

The evolution of self-replication in three dimensions is explored for the first time. A discrete three-dimensional world populated with physically-realizable “molecubes” is simulated. The cubes have randomly initialized controllers, can rotate about an axis, and can attach to one another to form conglomerations. Genetic material, which defines cube controllers, is exchanged stochastically betwe...

We present a computational model of vowel shifts, applied in particular to the Northern Cities Vowel Shift. Our model incorporates several empirically-derived rules of vowel change. The key aspect of this model is the use of representational momentum, which, we argue, explains multiple observed features of the shift. We compare our model with data on the Northern Cities Shift spanning more than...

Deleterious mutations sometimes revert into beneficial mutations via epistatic interactions with subsequent mutations. This type of interaction among mutations is called “sign-epistasis.” Recent works have explored the role of signepistasis in the evolution of asexual populations. Some have indicated that the fixation of sign-epistasic deleterious mutations may be critical for adaptive evolutio...

Evidence suggests that host-parasite coevolution can often result in host diversification. However, the host traits that coevolve often have primary functions affecting growth, creating the potential for conflicting selection pressures. For example, bacteriophage often infect bacteria by binding to nutrient uptake receptors, thus diversification of bacteria due to coevolution with phage may hav...

This paper proposes a new method to evaluate the complexity of a Gene Regulatory Network (GRN). It is based on the generation of pictures. In addition to being visually interesting, the pictures shows the capacity of the GRN to produce smooth and/or sudden transitions, fractal-like complexity and regularities. We also have studied the influence of the size of the GRN on the complexity of pictur...

Robustness and evolvability are indirectly selected properties of biological systems that still play a significant role in determining evolutionary trajectories. Understanding such second order evolution is even more challenging when considering traits related to cooperation, as the evolution of cooperation itself is governed by indirect selection. To examine the robustness and evolvability of ...

Work in Artificial Life aimed at informing Artificial Intelligence (Steels & Brooks, 1994, Artificial Life route to Artificial Intelligence, Lawrence Erlbaum) has drawn inspiration from biology mainly at two levels: i) a bottom-up modelling approach conceiving cognition as the evolutionary complexification of adaptive behaviour, and ii) appeals to self-organization in the domain of behaviour an...