Search Results for author: David Walker

Found 3 papers, 0 papers with code

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems

no code implementations12 Jun 2024 Ryan Zhou, Jaume Bacardit, Alexander Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John McCall, Niki van Stein, David Walker, Ting Hu

Additionally, we discuss the application of XAI principles within EC itself, examining how these principles can shed some light on the behavior and outcomes of EC algorithms in general, on the (automatic) configuration of these algorithms, and on the underlying problem landscapes that these algorithms optimize.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI)

Visualising Evolution History in Multi- and Many-Objective Optimisation

no code implementations22 Jun 2020 Mathew Walter, David Walker, Matthew Craven

However, challenges of transparency arise in both visualising the processes of an optimiser operating through a problem and understanding the problem features produced from many-objective problems, where comprehending four or more spatial dimensions is difficult.

Evolutionary Algorithms

Synthesizing Symmetric Lenses

no code implementations26 Oct 2018 Anders Miltner, Solomon Maina, Kathleen Fisher, Benjamin C. Pierce, David Walker, Steve Zdancewic

Recent work has also demonstrated how techniques from type-directed program synthesis can be used to efficiently synthesize a very simple class of lenses --- so-called bijective lenses over string data --- given a pair of types (regular expressions) and a small number of examples.

Programming Languages

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