Evolution of Self-Organized Task Specialization in Robot Swarms
نویسندگان
چکیده
منابع مشابه
Correction: Evolution of Self-Organized Task Specialization in Robot Swarms
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task specialization observed in both animal societies and multicellular organisms. Although clearly adaptive, the way in which division of labor first evolved remains enigmatic, as it requires the simultaneous co-occurrence of several complex traits to achieve the required degree of coordination. Rec...
متن کاملEvolution of Self-Organized Task Specialization in Robot Swarms
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task specialization observed in both animal societies and multicellular organisms. Although clearly adaptive, the way in which division of labor first evolved remains enigmatic, as it requires the simultaneous co-occurrence of several complex traits to achieve the required degree of coordination. Rec...
متن کاملEvolution of Self - Organized Task Specialization in Robot Swarms 1
18 Division of labor is ubiquitous in biological systems, as evidenced by various forms of 19 complex task specialization observed in both animal societies and multicellular organisms. 20 Although clearly adaptive, the way in which division of labor first evolved remains enigmatic, 21 as it requires the simultaneous co-occurrence of several complex traits to achieve the 22 required degree of co...
متن کاملDynamic Task Assignment in Robot Swarms
A large group of robots will often be partitioned into subgroups, each subgroup performing a different task. This paper presents four distributed algorithms for assigning swarms of homogenous robots to subgroups to meet a specified global task distribution. Algorithm Random-Choice selects tasks randomly, but runs in constant time. Algorithm Extreme-Comm compiles a complete inventory of all the ...
متن کاملGlobal-to-Local Design for Self-Organized Task Allocation in Swarms
We propose a global-to-local design methodology to compose heterogeneous swarms for self-organized task allocation. We consider embodied agents with only local knowledge and local communication driven by a simple reactive-control architecture (i.e., local level). We define finitely many agent controllers and focus on the macroscopic dynamics (i.e., global level) of behaviorally heterogeneous sw...
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2015
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1004273