Applying biological paradigms to emerge behaviour in RoboCup Rescue team

• Tipo: Artigo em Revista Científica Internacional
• Data: 2005

Autores

Francisco Reinaldo (Autor) Outra; João Certo (Autor) Outra; Nuno Cordeiro (Autor) Outra; Luís Paulo Reis (Autor) FEUP; Rui Carlos Camacho (Autor) FEUP; Nuno Lau (Autor) Outra

Revista

Título: Lecture Notes in Computer Science

Vol. 3808

Páginas: 422-434

ISSN: 0302-9743

Editora: Springer Nature

Indexação

ISI Proceedings

ISI Web of Knowledge - 1 Citação

Scopus - 3 Citações

INSPEC

COMPENDEX

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-000-6N0

DOI: 10.1007/11595014_42

Abstract (EN): This paper presents a hybrid behaviour process for performing collaborative tasks and coordination capabilities in a rescue team. RoboCup Rescue simulator and its associated international competition are used as the testbed for our proposal. Unlike other published work in this field one of our main concerns is having good results on RoboCup Rescue championships by emerging behaviour in agents using a biological paradigm. The benefit comes from the hierarchic and parallel organisation of the mammalian brain. In our behaviour process, Artificial Neural Networks are used in order to make agents capable of learning information from the environment. This allows agents to improve several algorithms like their Path Finding Algorithm to find the shortest path between two points. Also, we aim to filter the most important messages that arise from the environment, to make the right choice on the best path planning among many alternatives, in a short time. A policy action was implemented using Kohonen's network, Dijkstra's and D* algorithm. This policy has achieved good results in our tests, getting our team classified for RoboCup Rescue Simulation League 2005.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13