Characterising Agents’ Behaviours: Selecting Goal Strategies Based on Attributes

  • José Cascalho
  • Luis Antunes
  • Milton Corrêa
  • Helder Coelho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4149)


The growth in the demand of autonomous agent systems which take decisions on behalf of other agents or human users, increases the necessity to study systems which use affective elements to manage their resources and to take decisions in order to become more efficient and to facilitate human-machine interaction. In this paper we present an architecture that allows an agent to select a sequence of actions based on a previously predefined planning structure, by using a tree of goals and a set of informational beliefs. The affective elements which we call attributes, such as urgency, insistence and intensity, have the capacity to alter the agents’ behaviours, modifying their priorities with regard to resource consumption, the implicit costs of action execution and even their capabilities to execute an action. In a preliminary experiment made in a multi-agent system environment, a modified predator-prey workbench, we show how the attributes linked to these beliefs change the agents’ behaviour and improve their global performance.


Multiagent System Condition Belief Affective Element Urgency Level Goal Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • José Cascalho
    • 1
  • Luis Antunes
    • 3
  • Milton Corrêa
    • 2
  • Helder Coelho
    • 3
  1. 1.Departamento de Ciências da EducaçãoUniversidade dos AçoresAngra do HeroismoPortugal
  2. 2.Coordenação da Ciência da Computação e Laboratório Nacional de Computação CientíficaPetrópolisBrasil
  3. 3.Departamento de InformáticaFaculdade de Ciências da Universidade de LisboaLisboaPortugal

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