Interactive Evolution of Complex Behaviours Through Skill Encapsulation
- Pablo González de Prado Salas,
Publikation:
Konference artikel i Proceeding eller bog/rapport kapitel
Konferencebidrag i proceedings
Peer-reviewOpen Access
Resume
Human-based computation (HBC) is an emerging research area in which humans and machines collaborate to solve tasks that neither one can solve in isolation. In evolutionary computation, HBC is often realized through interactive evolutionary computation (IEC), in which a user guides evolution by iteratively selecting the parents for the next generation. IEC has shown promise in a variety of different domains, but evolving more complex or hierarchically composed behaviours remains challenging with the traditional IEC approach. To overcome this challenge, this paper combines the recently introduced ESP (encapsulation, syllabus and pandemonium) algorithm with IEC to allow users to intuitively break complex challenges into smaller pieces and preserve, reuse and combine interactively evolved sub-skills. The combination of ESP principles with IEC provides a new way in which human insights can be leveraged in evolutionary computation and, as the results in this paper show, IEC-ESP is able to solve complex control problems that are challenging for a traditional fitness-based approach.
Publikation information
Produktionstype
Publikation:
Konference artikel i Proceeding eller bog/rapport kapitel
Konferencebidrag i proceedings
Peer-reviewUndertitel på værtspublikation
European Conference on the Applications of Evolutionary ComputationOriginalsprog
EngelskSider fra-til (Antal sider)
Sider 853-869Publikationsmilepæle
- Udgivet - 2017
Publikationsstatus
Udgivet - 2017
Forlag
Springer, USA, TysklandBogserie
- Bogserienavn: Lecture Notes in Computer Science
Bind: 10199
ISSN: 0302-9743
ISBN (Trykt)
978-3-319-55848-6ISBN (Elektronisk)
978-3-319-55849-3Publication IDs
- Scopus: 85017541047
Titel på værtspublikation
Applications of Evolutionary Computation. EvoApplications 2017Redaktører for værtspublikation
- Giovanni Squillero
- Kevin Sim
Metrikker
PlumX, åbner i en ny fane
Hentninger
5
Antal citationer
2
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