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Open Ended Evolution in Artificial Life

Bibliographic Details
Title: Open Ended Evolution in Artificial Life
Authors: Dicks, Shane
Source: Systems Science Friday Noon Seminar Series
Publisher Information: PDXScholar
Publication Year: 2022
Collection: Portland State University: PDXScholar
Subject Terms: Artificial life – Computer simulation, Cybernetics, Evolution -- Mathematical models, Creative ability in technology, System theory, Biological systems -- Computer simulation, Biological systems -- Simulation methods, Computers -- Intelligence (ai) & Semantics, Genetic algorithms, Evolutionary computation, Genetic programming (Computer science), Systems Science
Description: How can we explain the explosion of diversity and complexity in the biosphere, from the emergence of single celled organisms to the panoply of living things we now observe? Human systems (economic, cultural, social, political) have exhibited similar increases. This propensity for the ongoing production of novelty is among the hallmarks of Open Ended Evolution (OEE), but while we can easily observe this phenomena in nature, we have yet to successfully simulate it. This seminar is a brief introduction to OEE, a major open question within the field of Artificial Life, explaining the concept and its importance, and providing an overview of the history of OEE research and the current state of this fascinating problem. ; https://pdxscholar.library.pdx.edu/systems_science_seminar_series/1116/thumbnail.jpg
Document Type: Thesis
File Description: video/mp4
Language: unknown
Relation: https://pdxscholar.library.pdx.edu/systems_science_seminar_series/115; https://pdxscholar.library.pdx.edu/context/systems_science_seminar_series/article/1116/type/native/viewcontent/11_Mar_2022_Shane_Dicks__HD_1080___WEB__H264_4000__.mp4; https://pdxscholar.library.pdx.edu/context/systems_science_seminar_series/article/1116/filename/0/type/additional/viewcontent/Captions_Shane.srt
Availability: https://pdxscholar.library.pdx.edu/systems_science_seminar_series/115
https://pdxscholar.library.pdx.edu/context/systems_science_seminar_series/article/1116/type/native/viewcontent/11_Mar_2022_Shane_Dicks__HD_1080___WEB__H264_4000__.mp4
https://pdxscholar.library.pdx.edu/context/systems_science_seminar_series/article/1116/filename/0/type/additional/viewcontent/Captions_Shane.srt
Rights: © Copyright the author(s) IN COPYRIGHT: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). DISCLAIMER: The purpose of this statement is to help the public understand how this Item may be used. When there is a (non-standard) License or contract that governs re-use of the associated Item, this statement only summarizes the effects of some of its terms. It is not a License, and should not be used to license your Work. To license your own Work, use a License offered at https://creativecommons.org/
Accession Number: edsbas.4A3B3D92
Database: BASE
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  – Url: https://pdxscholar.library.pdx.edu/systems_science_seminar_series/115#
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PubType: Dissertation/Thesis
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IllustrationInfo
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  Data: Open Ended Evolution in Artificial Life
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Dicks%2C+Shane%22">Dicks, Shane</searchLink>
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  Data: Systems Science Friday Noon Seminar Series
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  Data: PDXScholar
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  Label: Publication Year
  Group: Date
  Data: 2022
– Name: Subset
  Label: Collection
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  Data: Portland State University: PDXScholar
– Name: Subject
  Label: Subject Terms
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  Data: <searchLink fieldCode="DE" term="%22Artificial+life+–+Computer+simulation%22">Artificial life – Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Cybernetics%22">Cybernetics</searchLink><br /><searchLink fieldCode="DE" term="%22Evolution+--+Mathematical+models%22">Evolution -- Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Creative+ability+in+technology%22">Creative ability in technology</searchLink><br /><searchLink fieldCode="DE" term="%22System+theory%22">System theory</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+systems+--+Computer+simulation%22">Biological systems -- Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+systems+--+Simulation+methods%22">Biological systems -- Simulation methods</searchLink><br /><searchLink fieldCode="DE" term="%22Computers+--+Intelligence+%28ai%29+%26+Semantics%22">Computers -- Intelligence (ai) & Semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Evolutionary+computation%22">Evolutionary computation</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+programming+%28Computer+science%29%22">Genetic programming (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+Science%22">Systems Science</searchLink>
– Name: Abstract
  Label: Description
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  Data: How can we explain the explosion of diversity and complexity in the biosphere, from the emergence of single celled organisms to the panoply of living things we now observe? Human systems (economic, cultural, social, political) have exhibited similar increases. This propensity for the ongoing production of novelty is among the hallmarks of Open Ended Evolution (OEE), but while we can easily observe this phenomena in nature, we have yet to successfully simulate it. This seminar is a brief introduction to OEE, a major open question within the field of Artificial Life, explaining the concept and its importance, and providing an overview of the history of OEE research and the current state of this fascinating problem. ; https://pdxscholar.library.pdx.edu/systems_science_seminar_series/1116/thumbnail.jpg
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  Data: video/mp4
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  Data: https://pdxscholar.library.pdx.edu/systems_science_seminar_series/115; https://pdxscholar.library.pdx.edu/context/systems_science_seminar_series/article/1116/type/native/viewcontent/11_Mar_2022_Shane_Dicks__HD_1080___WEB__H264_4000__.mp4; https://pdxscholar.library.pdx.edu/context/systems_science_seminar_series/article/1116/filename/0/type/additional/viewcontent/Captions_Shane.srt
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  Data: https://pdxscholar.library.pdx.edu/systems_science_seminar_series/115<br />https://pdxscholar.library.pdx.edu/context/systems_science_seminar_series/article/1116/type/native/viewcontent/11_Mar_2022_Shane_Dicks__HD_1080___WEB__H264_4000__.mp4<br />https://pdxscholar.library.pdx.edu/context/systems_science_seminar_series/article/1116/filename/0/type/additional/viewcontent/Captions_Shane.srt
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  Label: Rights
  Group: Cpyrght
  Data: © Copyright the author(s) IN COPYRIGHT: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). DISCLAIMER: The purpose of this statement is to help the public understand how this Item may be used. When there is a (non-standard) License or contract that governs re-use of the associated Item, this statement only summarizes the effects of some of its terms. It is not a License, and should not be used to license your Work. To license your own Work, use a License offered at https://creativecommons.org/
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.4A3B3D92
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.4A3B3D92
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: unknown
    Subjects:
      – SubjectFull: Artificial life – Computer simulation
        Type: general
      – SubjectFull: Cybernetics
        Type: general
      – SubjectFull: Evolution -- Mathematical models
        Type: general
      – SubjectFull: Creative ability in technology
        Type: general
      – SubjectFull: System theory
        Type: general
      – SubjectFull: Biological systems -- Computer simulation
        Type: general
      – SubjectFull: Biological systems -- Simulation methods
        Type: general
      – SubjectFull: Computers -- Intelligence (ai) & Semantics
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
      – SubjectFull: Evolutionary computation
        Type: general
      – SubjectFull: Genetic programming (Computer science)
        Type: general
      – SubjectFull: Systems Science
        Type: general
    Titles:
      – TitleFull: Open Ended Evolution in Artificial Life
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          Name:
            NameFull: Dicks, Shane
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
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            – TitleFull: Systems Science Friday Noon Seminar Series
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