Clustering and Planning for Rescue Agent Simulation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Ahmed Abouraya , Dina Helal , Fadwa Sakr , Noha Khater , Salma Osama , Slim Abdennadher

ABSTRACT

The paper describes the contribution of the GUC_ArtSapience team to the Rescue Agent Simulation competition in RoboCup in terms of the current research approach. The approach is divided into two parts: clustering and planning. Clustering is done through task allocation to divide the map among the agents. Planning is done after assigning the agents to parts of the map to determine how they should cooperate and coordinate together and how they should prioritize their tasks [2]. The agents can coordinate together using centers and communication if available or dynamically without the use of communication. More... »

PAGES

125-134

References to SciGraph publications

  • 2012. Problems of Fuzzy c-Means Clustering and Similar Algorithms with High Dimensional Data Sets in CHALLENGES AT THE INTERFACE OF DATA ANALYSIS, COMPUTER SCIENCE, AND OPTIMIZATION
  • Book

    TITLE

    Applied Cryptography and Network Security

    ISBN

    978-3-642-31283-0
    978-3-642-31284-7

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-662-44468-9_12

    DOI

    http://dx.doi.org/10.1007/978-3-662-44468-9_12

    DIMENSIONS

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