Autonomous Behavior of Computational Agents

  • Roman Vaculín
  • Roman Neruda


In this paper we present an architecture for decision making of software agents that allows the agent to be-have autonomously. Our target area is computational agents — encapsulating various neural networks, genetic algorithms, and similar methods — that are expected to solve problems of different nature within an environment of a hybrid computational multi-agent system. The architecture is based on the vertically-layered and belief-desire-intention architectures. Several experiments with computational agents were conducted to demonstrate the benefits of the architecture.


Genetic Algorithm Software Agent Partner Choice Concept Node Autonomous Behavior 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Agnar Aamodt and Enric Plaza. Case-based reasoning: Foundational issues, methodological variations, and system approaches. AlCom — Artificial Intelligence Communications, 7(l):39–59, 1994.Google Scholar
  2. [2]
    David W. Aha and Dietrich Wettschereck. Case-based learning: Beyond classification of feature vectors. 1997.Google Scholar
  3. [3]
    Franz Baader, Diego Calvanese, Deborah McGuinness, Daniele Nardi, and Peter Patel-Schneider, editors. The Description Logic Handbook, Cambridge University Press, 2003.Google Scholar
  4. [4]
    Bang3 web page, Scholar
  5. [5]
    Roman Neruda, Pavel Krušina, and Zuzana Petrova. Towards soft computing agents. Neural Network World, 10(5):859–868, 2000.Google Scholar
  6. [6]
    H. S. Nwana. Software agents: An overview. Knowledge Engineering Review, 11(2):205–204, 1995.Google Scholar
  7. [7]
    Roman Vaculin. Artificial intelligence models in adaptive agents. Master’s thesis, Faculty of Mathematics and Physics, Charles University, Prague, 2003.Google Scholar
  8. [8]
    Roman Vaculin and Roman Neruda. Concept nodes architecture within the Bang3 system. Technical report, Institute of Computer Science, Academy of Science of the Czech Republic, 2004.Google Scholar
  9. [9]
    Gerhard Weiss, editor. Multiagents Systems. The MIT Press, 1999.Google Scholar

Copyright information

© Springer-Verlag/Wien 2005

Authors and Affiliations

  • Roman Vaculín
    • 1
  • Roman Neruda
    • 2
  1. 1.Faculty of Mathematics and PhysicsCharles UniversityPrague
  2. 2.Institute of Computer Science, ASCRPragueCzech Republic

Personalised recommendations