The interdisciplinary study of coordination
ACM Computing Surveys (CSUR)
Experience with a learning personal assistant
Communications of the ACM
Electronic markets and electronic hierarchies
Communications of the ACM
Computational and mathematical organization theory: perspective and directions
Computational & Mathematical Organization Theory
Electric Elves: Applying Agent Technology to Support Human Organizations
Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference
Multiple Negotiations among Agents for a Distributed Meeting Scheduler
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
COORDINATORS: Coordination Managers for First Responders
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Agents Swarming in Semantic Spaces to Corroborate Hypotheses
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Modeling adaptive autonomous agents
Artificial Life
OMNI: introducing social structure, norms and ontologies into agent organizations
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
CMRadar: a personal assistant agent for calendar management
AOIS'04 Proceedings of the 6th international conference on Agent-Oriented Information Systems II
Bilateral negotiation decisions with uncertain dynamic outside options
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Trust-Based Classifier Combination for Network Anomaly Detection
CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
Quantitative Analysis of Single-Level Single-Mediator Multi-agent Systems
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
| Hi-index | 0.00 |
Security systems can observe and hear almost anyone every-where. However, it is impossible to employ an adequate number of human experts to analyze the information explosion. In this paper we present an autonomous multi-agent framework which, as an input, obtains biometric information acquired at a set of locations. The framework aims in real-time to point out individuals who act according to a suspicious pattern across these locations. The system works in large-scale scenarios. We present a scenario to demonstrate the usefulness of the framework. The goal is to point out individuals who visited a sequence of airports using face recognition algorithms. Simulation results show a high overall accuracy of our system in real-time.