Daniel A. Ashlock
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In recent years, access to complete genomic sequences, coupled with rapidly accumulating data related to RNA and protein expression patterns, has made it possible to determine comprehensively how… Expand
Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.
A new genetic map of maize, ISU–IBM Map4, that integrates 2029 existing markers with 1329 new indel polymorphism (IDP) markers has been developed using intermated recombinant inbred lines (IRILs)… Expand
In a series of papers we have examined what happens when individuals make very calculated choices of partners, based on past interaction histories [17, 1, 16]. In Iterated Prisoner's Dilemma with… Expand
The widespread use of the maize Mutator (Mu) system to generate mutants exploits the preference of Mu transposons to insert into genic regions. However, little is known about the specificity of Mu… Expand
A correctly designed dynamic programming algorithm can be used as a fitness function to permit the evolution of maze-like levels for use in games. This study compares multiple representations for… Expand
This study presents a system for automatically producing puzzles for use in game design. The system incorporates an evolutionary algorithm that optimizes the puzzle to a specified level of… Expand
The Iterated Prisoner's Dilemma is a simultaneous two-player game widely used in studies on cooperation and conflict. Past work has shown that the choice of representation of evolving agents has a… Expand
The iterated prisoner's dilemma is a widely used computational model of cooperation and conflict. Many studies report emergent cooperation in populations of agents trained to play prisoner's dilemma… Expand
Recent sequencing efforts have targeted the gene-rich regions of the maize (Zea mays L.) genome. We report the release of an improved assembly of maize assembled genomic islands (MAGIs). The 114,173… Expand