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A Multi-agent Scheduling Model for Maximizing Agent Satisfaction

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Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7694))

Abstract

This paper presents a multi-agent scheduling model for selecting ecology-conservation activities in a large-scale ecological system. The overall goal is to maximize the total satisfaction of the multiple agents (stakeholders). The problem is motivated by the needs for sustainable development for the Dead Sea Basin in the Middle East. A new FPTAS algorithm for solving the scheduling problem is developed.

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Author information

Authors and Affiliations

  1. Ashkelon Academic College, Ashkelon, Israel

    Eugene Levner

  2. Bar Ilan University, Ramat Gan, Israel

    Amir Elalouf

  3. Macau University of Science and Technology, Macau

    Huajun Tang

Authors
  1. Eugene Levner
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  2. Amir Elalouf
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  3. Huajun Tang
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Editor information

Editors and Affiliations

  1. Faculty of Informatics, Mahasarakham University, Khamreang, Kantarawichai, 44150, Mahasarakham, Thailand

    Chattrakul Sombattheera

  2. Nong Lam University, Linh Trung ward, Thu Duc District, Ho Chi Minh City, Vietnam

    Nguyen Kim Loi

  3. Department of Computer and Information Sciences, University of Hyderabad, P. O. Central University, Gachibowli, 500 046, Hyderabad, India

    Rajeev Wankar

  4. Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh, Vietnam

    Tho Quan

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© 2012 Springer-Verlag Berlin Heidelberg

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Levner, E., Elalouf, A., Tang, H. (2012). A Multi-agent Scheduling Model for Maximizing Agent Satisfaction. In: Sombattheera, C., Loi, N.K., Wankar, R., Quan, T. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2012. Lecture Notes in Computer Science(), vol 7694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35455-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-35455-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35454-0

  • Online ISBN: 978-3-642-35455-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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