Dr. Winston Ewert

About

Winston Ewert is a software engineer and researcher with a passion for applying his skill as a computer scientist to uncovering the mysteries of life. He obtained a Bachelor's of Science in Computer Science degree at Trinity Western University, a Master of Science degree in Computer Science at Baylor University, and a Doctorate of Philosophy in Electrical and Computer Engineering at Baylor University. He works primarily in the field of intelligent design, exploring the implications of computer simulations of evolution, developing the theory of specified complexity, and understanding genomes as examples of sophisticated software.

Winston Ewert is:

Publications

The Design Inference: Eliminating Chance through Small Probabilities (2023)

I helped William A. Dembski prodce the second edition of the design inference, updating a foundational work for the Intelligent Design Movement. The book explains the basic logic of drawing design inferences.

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AminoGraph Analysis of the Auditory Protein Prestin From Bats and Whales Reveals a Dependency-Graph Signal That Is Missed by the Standard Convergence Model (2023)

This paper expands on the dependency graph model of life, applying to amino acid sequences with special attention to the prestin gene.

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The Dependency Graph of Life (2018)

This paper introduces the concept of a dependency graph as an alternative account of the nested hierarchy pattern. It shows that the dependency graph can explain the same patterns as the tree of life, but can also explain deviations from those patterns which are difficult for evolutionary to account for.

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Theistic Evolution: A Scientific, Philosophical, and Theological Critique (2017)

I contributed a chapter to this book making the case that intelligent design made successful predictions about computer simulations of evolution while evolutionary theory was unfalsifiable.

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Introduction to Evolutionary Informations (2017)

This book puts together much of the work I did while at the Evolutionary Informatics Lab.

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Conservation of Information in Coevolutionary Searches (2017)

This paper evaluates free lunches proposed to exist in coevolution scenarios. We showed that the co-evolutionary scenarios considered evaluate partial queries. Instead of determining the quality of a solution all at once, the quality of a solution is only evaluated partially. The "free lunch" produced by these scenarios only arises due to this use of partial queries. The performance is still bounded by the limitations of the no free lunch theorem.

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Stylus Experiments Made Easy—A Free App for Personal Computers (2016)

I developed a user friendly desktop interface for using the Stylus evolutionary simulation.

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Overabundant mutations help potentiate evolution: The effect of biologically realistic mutation rates on computer models of evolution (2015)

This paper explores what happens when typical evolutionary simulations are run with biologically realistic mutation rates. They cease to work. Typical evolutionary simulations only work because they have extremely high mutation rates.

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Measuring Meaningful Information in Images: Algorithmic Specified Complexity (2015)

This paper applies the concept of algorithmic specified complexity to images. It shows how it can capture the difference between random noise, simple patterns, and images. It particularly explores how background knowledge can be used in the compression of an image thereby providing a specification.

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Algorithmic Specified Complexity in the Game of Life (2015)

This paper applies the concept of algorithmic specified complexity to the game of life. It shows how we can differentiate between patterns which arise by chance and thus which are deliberately designed.

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A Mono-Theism Theorem: Gödelian Consistency in the Hierarchy of Inference (2014)

This paper explores the mathematical implications of an omniscient oracle. It shows that there can only be one omniscient oracle who must exist outside of time.

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Digital Irreducible Complexity: A Survey of Irreducible Complexity in Computer Simulations (2014)

This paper evaluates various computer simulations claimed to have evolved irreducible complexity. It develops the idea of irreducible complexity to have four specific requirements and show that none of the previously claimed examples show irreducible complexity.

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Algorithmic Specified Complexity (2014)

This paper introduces algorithmic specified complexity, a version of specified complexity that utilizes Kolmogorov complexity. It provides a metric for evaluating the information content of an object and evaluating whether or not it could plausibly have been produced by a random process.

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Active Information in Metabiology (2013)

This paper evaluates Gregory Chaitin's Metabiology project. We show that the project depends on ignoring the immense improbabilities involved.

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Evolutionary Inversion of Swarm Emergence Using Disjunctive Combs Control (2013)

This paper combines swarm intelligence with evolutionary algorithms to produce interesting behaviors.

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Unexpected Emergent Behaviors From Elementary Swarms (2013)

This paper explores behavior of agents emerging from simple rules. It explores a number of examples of complex behavior that arise from the interaction of agents following simple rules.

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On the Improbability of Algorithmic Specified Complexity (2013)

This paper provides the fundamental theorem for algorithmic specified complexity demonstrating that it is improbable to observe an event with high algorithmic specified complexity.

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Conservation of Information in Relative Search Performance (2013)

This paper evaluates certain free lunches that had been discovered in relative search performance. These are cases where a search program is only evaluated relative to another search algorithm instead of being evaluated by an absolute standard. Despite the results of the no free lunch theorems, it is possible for one algorithm to be better than another over all possible programs. We show that this due to these metrics not following the transitivity principle.

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Time and Information in Evolution (2012)

This paper evaluated a model put forward in a paper entitled There’s plenty of time for evolution. The authors put forward a very simplistic model of evolution to argue that evolution can work rapidly. We showed how the success of the model derived from unrealistic assumptions about the independence of all mutations.

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Climbing the Steiner Tree—Sources of Active Information in a Genetic Algorithm for Solving the Euclidean Steiner Tree Problem (2012)

This paper evaluates a simulation by Dave Thomas which evolved Steiner trees. He loudly proclaim that it destroyed intelligent design and proved evolution. We showed that the simulation contained various points of fine tuning in order to be successful.

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Tierra: The Character of Adaptation (2011)

This paper investigates Tierra, a simulation of evolving computer programs. We find that while they give the appearance of evolving a variety of interesting phenomena, the underlying cause is primarily the loss and rearrangement of code provided by the simulations designer.

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A Vivisection of the ev Computer Organism: Identifying Sources of Active Information (2010)

This paper considers the ev simulation developed by Thomas Schneider. We show that the active information in the simulation is due to the use a hamming oracle and a perceptron structure.

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Efficient Per Query Information Extraction from a Hamming Oracle (2010)

This paper considers the "methinks it is like a weasel" program utilized by Richard Dawkins in his book, The Blind Watchmaker. This program evolves the phrase "methinks it is like a weasel" by a process of mutation and selection. Its success is due to the use of a "hamming oracle" which tells evolution how close it is to the target.

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Evolutionary Synthesis of Nand Logic: Dissecting a Digital Organism (2009)

This paper considers Avida, especially the work presented in the 2003 paper The Evolutionary Origin of Complex Features. We showed how the evolutionary process was assisted by the chosen initialization, selection of instruction set, and favoring of prerequisites. These instances of prior knowledge are utilize to create active information which explains the success of Avida.

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