Classifying Organizational Structures on Targets in the Cooperative Target Observation

  • Thayanne Silva Universidade Estadual do Ceará
  • Matheus Araújo Universidade Estadual do Ceará
  • Raimundo F. Junior Universidade Estadual do Ceará
  • Leonardo Costa Universidade Federal do Ceará
  • João Andrade Universidade Estadual do Ceará
  • Gustavo Campos Universidade Estadual do Ceará


This paper proposes an approach to classify the organizational structure of a group of moving target agents that are continuously monitored by a smaller group of moving observer agents. The approach considers that the group of target agents can organize themselves according to eight different paradigms. The agents communicate through the exchange of messages whose contents are speech-act performative. We evaluate the approach considering seven techniques to solve the problem of classifying the group of target agents' organizational structure. The results show that the approach is promising, as it obtained a good performance, measured during experiments using agent-based simulations.

Palavras-chave: Cooperative Target Observation, Extension of Target's Strategy, Organization, Machine Learning


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SILVA, Thayanne; ARAÚJO, Matheus; F. JUNIOR, Raimundo; COSTA, Leonardo; ANDRADE, João; CAMPOS, Gustavo. Classifying Organizational Structures on Targets in the Cooperative Target Observation. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 17. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 718-729. ISSN 2763-9061. DOI: