Long-Term Progress and Behavior Complexification in Competitive Coevolution
نویسندگان
چکیده
منابع مشابه
Competitive Coevolution through Evolutionary Complexification
Two major goals in machine learning are the discovery of complex multidimensional solutions and continual improvement of existing solutions. In this paper, we argue that complexification, i.e. the incremental elaboration of solutions through adding new structure, achieves both these goals. We demonstrate the power of complexification through the NeuroEvolution of Augmenting Topologies (NEAT) me...
متن کاملContinual Coevolution Through Complexification
In competitive coevolution, the goal is to establish an “arms race” that will lead to increasingly sophisticated strategies. However, in practice, the process often leads to idiosyncrasies rather than continual improvement. Applying the NEAT method for evolving neural networks to a competitive simulated robot duel domain, we will demonstrate that (1) as evolution progresses the networks become ...
متن کاملthe effects of keyword and context methods on pronunciation and receptive/ productive vocabulary of low-intermediate iranian efl learners: short-term and long-term memory in focus
از گذشته تا کنون، تحقیقات بسیاری صورت گرفته است که همگی به گونه ای بر مثمر ثمر بودن استفاده از استراتژی های یادگیری لغت در یک زبان بیگانه اذعان داشته اند. این تحقیق به بررسی تاثیر دو روش مختلف آموزش واژگان انگلیسی (کلیدی و بافتی) بر تلفظ و دانش لغوی فراگیران ایرانی زیر متوسط زبان انگلیسی و بر ماندگاری آن در حافظه می پردازد. به این منظور، تعداد شصت نفر از زبان آموزان ایرانی هشت تا چهارده ساله با...
15 صفحه اولShort and Long Term Memory in Coevolution
Games provide the perfect test bed for measuring the effectiveness of computer generated strategies in a competitive and fun environment. Over the years many different games have been tackled by researchers of computational intelligence with the purpose of creating an intelligent computer player that can challenge human players. In this paper the authors summarize the research performed over th...
متن کاملEmergence of Competitive and Cooperative Behavior using Coevolution
Track Genetic-Based Machine Learning) In nature there are teams of collaborators and competitors that evolve at the same time, yet computationally they have mostly been studied separately so far. This paper focuses on simultaneous cooperative and competitive coevolution in a complex predatorprey domain. Yong and Miikkulainen’s [23] Multi-Agent ESP architecture is first used to evolve neural net...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Artificial Life
سال: 2020
ISSN: 1064-5462,1530-9185
DOI: 10.1162/artl_a_00329