• DocumentCode
    1906937
  • Title

    AgentSpeak(PL): A New Programming Language for BDI Agents with Integrated Bayesian Network Model

  • Author

    Silva, Diego Gonçalves ; Gluz, João Carlos

  • Author_Institution
    Programa de Pos-Grad. em Comput. Aplic., Univ. do Vale do Rio dos Sinos - UNISINOS, Sao Leopoldo, Brazil
  • fYear
    2011
  • fDate
    26-29 April 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Within the current BDI paradigm of agent oriented programming, it is not possible to develop a practical and straightforward software when agent´s beliefs are based on probabilistic knowledge related to their environment, because the logical base of the programming language do not allow this possibility. Usually, to develop this kind of hybrid agent, it is necessary to make use of advanced programming techniques, which combine and integrate different development environments and programming languages in order to represent the logical part and the probabilistic part of the model, to make implementation feasible. This work presents a new agentoriented programming language called AgentSpeak(PL), based in AgentSpeak(L), a classical BDI programming language. AgentSpeak(PL) integrates the concept of probabilistic beliefs through the use of Bayesian Networks, to core BDI programming concepts. The language is implemented through an extension of the Jason programming environment.
  • Keywords
    belief networks; multi-agent systems; programming languages; AgentSpeak; BDI agents; Jason programming environment; agent oriented programming; integrated Bayesian network model; programming language; Bayesian methods; Cognition; Computer languages; Estimation; Probabilistic logic; Programming; Semantics; AgentSpeak; Agents; Bayesian Networks; Jason; Probability; Programming Languages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2011 International Conference on
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-1-4244-9222-0
  • Electronic_ISBN
    978-1-4244-9223-7
  • Type

    conf

  • DOI
    10.1109/ICISA.2011.5930301
  • Filename
    5930301