Multiagent Task Allocation in Complementary Teams: A Hunter-and-Gatherer Approach
المؤلفون المشاركون
Zargarzadeh, Hassan
Moazami, Saeed
Myler, Harley
Dadvar, Mehdi
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-26
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Consider a dynamic task allocation problem, where tasks are unknowingly distributed over an environment.
This paper considers each task comprising two sequential subtasks: detection and completion, where each subtask can only be carried out by a certain type of agent.
We address this problem using a novel nature-inspired approach called “hunter and gatherer.” The proposed method employs two complementary teams of agents: one agile in detecting (hunters) and another skillful in completing (gatherers) the tasks.
To minimize the collective cost of task accomplishments in a distributed manner, a game-theoretic solution is introduced to couple agents from complementary teams.
We utilize market-based negotiation models to develop incentive-based decision-making algorithms relying on innovative notions of “certainty and uncertainty profit margins.” The simulation results demonstrate that employing two complementary teams of hunters and gatherers can effectually improve the number of tasks completed by agents compared to conventional methods, while the collective cost of accomplishments is minimized.
In addition, the stability and efficacy of the proposed solutions are studied using Nash equilibrium analysis and statistical analysis, respectively.
It is also numerically shown that the proposed solutions function fairly; that is, for each type of agent, the overall workload is distributed equally.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dadvar, Mehdi& Moazami, Saeed& Myler, Harley& Zargarzadeh, Hassan. 2020. Multiagent Task Allocation in Complementary Teams: A Hunter-and-Gatherer Approach. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1139956
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dadvar, Mehdi…[et al.]. Multiagent Task Allocation in Complementary Teams: A Hunter-and-Gatherer Approach. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1139956
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dadvar, Mehdi& Moazami, Saeed& Myler, Harley& Zargarzadeh, Hassan. Multiagent Task Allocation in Complementary Teams: A Hunter-and-Gatherer Approach. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1139956
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139956
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر