The Seventh International Workshop on Agents and Data Mining Interaction

The Seventh International Workshop on Agents and Data Mining Interaction (ADMI-11)

MAY 02-06, 2011 Taipei, Taiwan

Held in conjunction with:

The Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS2011)

Important dates:

  • Electronic submission of full papers: January 30, 2011 February 28, 2011
  • Notification of paper acceptance: March 7, 2011
  • Camera-ready copies of accepted papers: March 13, 2011
  • AAMAS-2011 workshop: May 10-11, 2011


The ADMI workshop provides a premier forum for sharing research and engineering results, as well as potential challenges and prospects encountered in the respective communities and the coupling between agents and data mining. The workshop welcomes theoretical work and applied dissemination aiming to:

  1. exploit agent-enriched data mining and demonstrate how intelligent agent technology can contribute to critical data mining problems in theory and practice;
  2. improve data mining-driven agents and show how data mining can strengthen agent intelligence in research and practical applications;
  3. explore the integration of agents and data mining towards a super-intelligent system;
  4. discuss existing results, new problems, challenges and impact of integration of agent and data mining technologies as applied to highly distributed heterogeneous, including mobile, systems operating in ubiquitous and P2P environments;
  5. identify challenges and directions for future research and development on the synergy between agents and data mining.

The workshop encourages submissions on, but not limited to:

1. Agent systems and tools supporting data mining technologies
- agents in active and adaptive mining
- agent technology for web mining/web-based ontology mining,
- agent-mediated distributed data mining
- integration of agent and data mining technologies in mobile and ubiquitous environments
- agent-based data mining infrastructures and software tools

2. Agent and multi-agent systems intelligence enhancement through data mining
- agent behavior analysis: data mining and machine learning for analyzing, learning, planning and negotiating agent behaviors in multi-agent systems
- distributed learning of agents and multi-agent systems
- data mining-driven agent intelligence enhancement and evolution
- learning-based protocol selection in cooperative multi-agent systems
- learning of coordination, communication, planning, and negotiation in multi-agent systems
- context–dependent data mining for multi-agent systems
- agent learning of cooperative behavior in open P2P environment
- reasoning and adaptation in complex environments

3. Agent-based systems exploiting data mining primitives in modern environments
- cloud, distributed, and peer-to-peer data mining
- web-service based systems exploiting data mining for improved performance
- trust and reputation in agent marketplaces
- enterprise applications integration
- ubiquitous intelligence emerging due to agent-mining interaction and integration
- agent systems in smart space and ambient intelligence applications

4. Theoretical foundations for agent mining
- protocols and communication for data mining enhanced agent systems
- agent mining formalization
- performance evaluation and validation in agent mining
- agent mining software engineering practices

5. Applications, success stories, case studies and lessons learned
- advanced engineering and industrial applications
- swarm-based self-organizing agent systems in multi-modal logistics
- emerging agent mining applications and lessons learned
- challenges and prospects in agent mining

Invited speakers:

  • Peter Stone, University of Texas at Austin, USA
  • Gal Kaminka, Bar Ilan University, Israel

Submission Instructions:

Please follow the Springer LNCS edited book formats, with not more than 12 pages. Papers are to be submitted through the EasyChair Conference System website (

Post-workshop publication:

  • The ADMI-11 Proceedings will be published by Springer-Verlag as a volume of LNCS/LNAI series.
  • A Special Issue on Agent Mining with Journal of AAMAS.

Workshop Program Co-Chairs:

- Longbing Cao, University of Technology Sydney, Australia
- Ana Bazzan, Universidade Federal do Rio Grande do Sul, Instituto de Informatica, Brasil
- Andreas L. Symeonidis, Aristotle University of Thessaloniki, Greece
- Vladimir Gorodetsky, Russian Academy of Sciences, St. Petersburg, Rusia.

Workshop General Co-Chairs:

- Gerhard Weiss, University of Maastricht, Netherlands
- Philip S Yu, University of Illinois at Chicago USA

Workshop Organizing Chair:

- Dionysis Kehagias, Informatics and Telematics Institute, Centre for Reseach and Technology Hellas, Greece

Supported by:

Agent-Mining Interaction and Integration Special Interest Group (AMII-SIG)


Longbing Cao, Ana Bazzan, Andreas L. Symeonidis, Vladimir Gorodetsky, Dionysis Kehagias