© 2005

Holonic and Multi-Agent Systems for Manufacturing

Second International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2005, Copenhagen, Denmark, August 22-24, 2005. Proceedings

  • Vladimír Mařík
  • Robert William Brennan
  • Michal Pěchouček
Conference proceedings HoloMAS 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3593)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3593)

Table of contents

  1. Front Matter
  2. Invited Papers

    1. Kenwood H. Hall, Raymond J. Staron, Pavel Vrba
      Pages 1-10
    2. Paul Valckenaers, Hendrik Van Brussel
      Pages 11-22
    3. Jose L. Martinez Lastra, Enrique Lopez Torres, Armando W. Colombo
      Pages 23-38
  3. Theoretical and Methodological Issues

    1. Adriana Giret, Vicente Botti, Soledad Valero
      Pages 39-49
    2. John Debenham
      Pages 64-75
  4. Algorithms and Technologies

  5. Implementation and Validation Aspects

    1. Francisco P. Maturana, Raymond J. Staron, Pavel Tichý, Petr Šlechta, Pavel Vrba
      Pages 111-120
    2. Paulo Leitão, Francisco Restivo
      Pages 121-132
  6. Applications

    1. Ilkka Seilonen, Teppo Pirttioja, Antti Pakonen, Pekka Appelqvist, Aarne Halme, Kari Koskinen
      Pages 144-153
    2. Pavel Vrba, Filip Macůrek, Vladimír Mařík
      Pages 176-187
    3. Rajveer Basra, Kevin Lü, George Rzevski, Petr Skobelev
      Pages 188-196
    4. Larry Bunch, Maggie Breedy, Jeffrey M. Bradshaw, Marco Carvalho, Niranjan Suri
      Pages 197-206
    5. Milan Rollo, Petr Novák, Pavel Jisl
      Pages 207-220

About these proceedings


The challenge faced in today’s manufacturing and business environments is the question of how to satisfy increasingly stringent customer requirements while managing growing system complexity. For example, customers expect high-quality, customizable, low-cost products that can be delivered quickly. The systems that deliver these expectations are by nature distributed, concurrent, and stochastic, and, as a result, increasingly difficult to manage. Unfortunately, the traditional hierarchical, strictly centralized approach to control used in these domains is characteristically inflexible, fragile, and difficult to maintain. These shortcomings have led to the development of a new class of manufacturing and supply-chain decision-making approaches in recent years. Solutions based on these approaches usually explore a set of highly distributed decision-making units that are capable of autonomous operations while cooperating interactively to resolve larger problems. The units, referred to as agents in classical computer science and software engineering, or holons if physically integrated with the manufacturing hardware, interact by exchanging information. These units are motivated by arriving at local solutions as well as collaborating and sharing resources and goals in solving the overall problem in question collectively.


agent-based manufacturing algorithms automation control systems data mining distributed computing fault-tolerant production control holarchies intelligent diagnostics mulit-agent systems multi-agent system ontology robot semantic web visualization

Editors and affiliations

  • Vladimír Mařík
    • 1
  • Robert William Brennan
    • 2
  • Michal Pěchouček
    • 3
  1. 1.Gerstner LaboratoryCzech Technical University in PraguePrague 6Czech Republic
  2. 2.Schulich School of EngineeringUniversity of CalgaryCalgary, AlbertaCanada
  3. 3.Department of CyberneticsCzech Technical University in Prague 

Bibliographic information

Industry Sectors
Chemical Manufacturing
IT & Software
Consumer Packaged Goods
Materials & Steel
Finance, Business & Banking
Energy, Utilities & Environment
Oil, Gas & Geosciences