The morphological diversity of life has captivated systematists in the construction of classifications, embryologists in the study of development, and evolutionists in the formulation of theories of organic change. In a century marked by the advances of molecular biology, has the discipline of...

For any real-world generalization problem, there are always many generalizers which could be applied to the problem. This chapter discusses some algorithmic techniques for dealing with this multiplicity of possible generalizers. All of these techniques rely on partitioning the provided learning...

A new approach to drug discovery is based on the generation of high diversity libraries of DNA, RNA, peptides or small molecules. Search of such libraries for useful molecules is an optimization problem of high-dimensional molecular fitness landscapes. We utilize a spin-glass-like model, the NK...

The structure of a fitness landscape is still an ill-defined concept. This paper introduces a statistical fitness landscape analysis, that can be used on a multitude of fitness landscapes. The result of this analysis is a statistical model that, together with some statistics denoting the...

In this contribution we consider the effect of a class of ``averaging operators'' on isotropic fitness landscapes. Explicit expressions for the correlation function of the averaged landscapes are derived. A new class of tuneably rugged landscapes, obtained by iterated smoothing of the random...

In our work we are studying how genetic algorithms (GAs) can evolve cellular automata (CAs) to perform computations that require global coordination. The "evolving cellular automata" framework is an idealized means for studying how evolution (natural or computational) can create systems that...

Mendel was lucky in postulating a particulate theory of genetic determinism in that he chose traits of sweet peas that were neither multigenic in their basis or strongly linked, and having access to a large data set over which he had complete environmental control. Perhaps it is no surprise that...

The most general aim of "Investigations" is to explore whether there might, conceivably, be some general laws governing a certain class of non-equilibrium systems - namely the class of coevolutionary self-constructing communities of autonomous agents. The first lecture discusses the general...

An algorithm is presented for generating rigorously all suboptimal secondary structures between the minimum free energy and an arbitrary upper limit. The algorithm performs particularly well in the vicinity of the minimum free energy. This enables the efficient approximation of statistical...

This paper provides an analysis of the asymptotic properties of consumption allocations in a stochastic general equilibrium model with heterogeneous consumers. In particular we investigate the market selection hypothesis, that markets favor traders with more accurate beliefs. We show that in any...