An overview of LCS research from 2020 to 2021

Pätzel, David; Heider, Michael; Wagner, Alexander R. M.

doi:10.1145/3449726.3463173

Cited by 7 publications

(2 citation statements)

References 46 publications

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“…Also, we leave out papers published on arXiv unless they are relevant for a followup paper which meets our criteria. Finally, we exclude publications that were already cited in the previous year's survey [36] even if they were eligible for the present survey as well (this may be the case, for example, if they have been re-published or moved from a 'pre-proof' to a 'published' status).…”

Section: Methodsmentioning

confidence: 99%

“…Since 2019, a recurring segment of the International Workshop on Learning Classifier Systems (IWLCS) is its organizers giving a presentation of an exhaustive overview of learning classifier system (LCS) research that was conducted over the past year. In 2020 and 2021 that presentation was accompanied by a survey workshop paper [36,37], a practice which we hereby continue. Our primary goal is to contribute to a better organized research community; showcasing the most recent developments of the field helps to connect LCS researchers but also serves people new to the field as they can more quickly assess the latest achievements, current challenges as well as links to other areas.…”

Section: Introductionmentioning

confidence: 96%

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An overview of LCS research from 2021 to 2022

Heider

Pätzel

Wagner

2022

Proceedings of the Genetic and Evolutionary Computation Conference Companion

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The International Workshop on Learning Classifier Systems (IWLCS) is an annual workshop at the GECCO conference where new concepts and results regarding learning classifier systems (LCSs) are presented and discussed. One recurring part of the workshop agenda is a presentation that reviews and summarizes the advances made in the field over the last year; this is intended to provide an easy entry point to the most recent progress and achievements. The 2020 and 2021 presentations were accompanied by survey workshop papers, a practice which we hereby continue. We give an overview of all the LCS-related publications from 11 March 2021 to 10 March 2022. The 42 publications we review are grouped into six overall topics: Formal theoretic advances, new LCS architectures, LCS-based reinforcement learning, algorithmic improvements to existing LCSs, combinations of LCS and Deep Learning models and, finally, a variety of applications of LCSs. CCS CONCEPTS• Computing methodologies → Rule learning; Genetic algorithms; • General and reference → Surveys and overviews.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%