scholarly journals Task Allocation in Robotic Swarms: Explicit Communication Based Approaches

2015 ◽  
pp. 59-67 ◽  
Author(s):  
Aryo Jamshidpey ◽  
Mohsen Afsharchi
Keyword(s):  
Task Allocation ◽  
Robotic Swarms ◽  
Explicit Communication

A comparison of model-based and explicit communication for task allocation

1984 ◽  
Author(s):  
Lynn Y. Arnaut ◽  
Joel S. Greenstein ◽  
Mark E. Revesman
Keyword(s):  
Task Allocation ◽  
Model Based ◽  
Explicit Communication

A Comparison of Model-Based and Explicit Communication for Task Allocation

1984 ◽  
Vol 28 (2) ◽  
pp. 152-156
Author(s):  
Lynn Y. Arnaut ◽  
Joel S. Greenstein ◽  
Mark E. Revesman
Keyword(s):  
Task Allocation ◽  
Model Based ◽  
Explicit Communication

Autonomous task allocation by artificial evolution for robotic swarms in complex tasks

2018 ◽  
Vol 24 (1) ◽  
pp. 127-134 ◽  
Author(s):  
Yufei Wei ◽  
Motoaki Hiraga ◽  
Kazuhiro Ohkura ◽  
Zlatan Car
Keyword(s):  
Task Allocation ◽  
Artificial Evolution ◽  
Complex Tasks ◽  
Robotic Swarms

“Second guessing yourself all the time about what they really mean…”: Cognitive differences between autistic and non-autistic adults in understanding implied meaning

2020 ◽  
Author(s):  
Alexander Wilson ◽  
Dorothy Vera Margaret Bishop
Keyword(s):  
Language Ability ◽  
Test Format ◽  
Cognitive Differences ◽  
Autistic People ◽  
Cognitive Preference ◽  
Core Language ◽  
Implied Meaning ◽  
Cognitive Preferences ◽  
Explicit Communication ◽  
Selection Of

This study investigated cognitive differences between autistic and non-autistic people in understanding implied meaning in conversation using a novel computerized test, the Implicature Comprehension Test. Controlling for core language ability, autistic participants (N = 66) were over twice as likely to endorse a non-normative interpretation of an implied meaning and over five times as likely to select ‘don’t know’ when asked about the presence of an implied meaning, compared to non-autistic participants (N = 118). A further experiment suggested that the selection of ‘don’t know’ reflected a cognitive preference for certainty and explicit communication, and that the normative inference could often be made when the test format was more constrained. Our research supports the hypothesis that autistic individuals can find it challenging to process language in its pragmatic context, and that cognitive preferences play a role in this.

Task allocation based on ant colony optimization in cloud computing

2013 ◽  
Vol 32 (5) ◽  
pp. 1418-1420
Author(s):  
Chun-yan ZHANG ◽  
Qing-lin LIU ◽  
Ke MENG
Keyword(s):  
Cloud Computing ◽  
Ant Colony Optimization ◽  
Task Allocation ◽  
Ant Colony
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