An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue
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- Norman Packard
- Protolife, Inc.
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- Mark A. Bedau
- Reed College
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- Alastair Channon
- Keele University
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- Takashi Ikegami
- University of Tokyo
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- Steen Rasmussen
- University of Southern Denmark
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- Kenneth O. Stanley
- Uber AI Labs
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- Tim Taylor
- Monash University
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説明
<jats:p> Nature's spectacular inventiveness, reflected in the enormous diversity of form and function displayed by the biosphere, is a feature of life that distinguishes living most strongly from nonliving. It is, therefore, not surprising that this aspect of life should become a central focus of artificial life. We have known since Darwin that the diversity is produced dynamically, through the process of evolution; this has led life's creative productivity to be called Open-Ended Evolution (OEE) in the field. This article introduces the second of two special issues on current research in OEE and provides an overview of the contents of both special issues. Most of the work was presented at a workshop on open-ended evolution that was held as a part of the 2018 Conference on Artificial Life in Tokyo, and much of it had antecedents in two previous workshops on open-ended evolution at artificial life conferences in Cancun and York. We present a simplified categorization of OEE and summarize progress in the field as represented by the articles in this special issue. </jats:p>
収録刊行物
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- Artificial Life
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Artificial Life 25 (2), 93-103, 2019-05
MIT Press - Journals
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キーワード
- Optimization
- FOS: Computer and information sciences
- Computer Science - Artificial Intelligence
- Open-ended evolution
- Semantic evolution
- Q1
- Models, Biological
- Models
- Neural and Evolutionary Computing (cs.NE)
- Innovation
- Complexity growth
- Major transitions
- T1
- Evolution of evolvability
- Novelty
- Computer Science - Neural and Evolutionary Computing
- Biological
- Biological Evolution
- Open-endedness
- Artificial Intelligence (cs.AI)
- Synthetic Biology
詳細情報 詳細情報について
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- CRID
- 1360861710176070912
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- ISSN
- 15309185
- 10645462
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- PubMed
- 31150285
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- データソース種別
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- Crossref
- OpenAIRE