An investigation into distributed constraint-directed factory scheduling
Proceedings of the sixth conference on Artificial intelligence applications
An agent-based approach for building complex software systems
Communications of the ACM
Coordinating Mutually Exclusive Resources using GPGP
Autonomous Agents and Multi-Agent Systems
Patient scheduling under uncertainty
Proceedings of the 2004 ACM symposium on Applied computing
Agent-based patient admission scheduling in hospitals
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Coordinating Competitive Agents in Dynamic Airport Resource Scheduling
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
A Simulation Approach for Scheduling Patients in the Department of Radiation Oncology
Journal of Medical Systems
Adaptive resource allocation for efficient patient scheduling
Artificial Intelligence in Medicine
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
Degrees of terminal cooperativeness and the efficiency of the barge handling process
Expert Systems with Applications: An International Journal
About the role of the environment in multi-agent simulations
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
An Agent Based Approach to Patient Scheduling Using Experience Based Learning
International Journal of Agent Technologies and Systems
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Patient scheduling in hospitals is a highly complex task. Hospitals have a distributed organisational structure; being divided into several autonomous wards and ancillary units. Moreover, the treatment process is dynamic (information about the patients' diseases often varies during treatments, causing changes in the treatment process). Current approaches are insufficient because they either focus only on the single ancillary units, and therefore do not consider the entire treatment process of the patients, or they do not account for the distribution and dynamics of the patient scheduling problem. Therefore, we propose an agent based approach in which the patients and hospital resources are modelled as autonomous agents with their own goals, reflecting the decentralised structures in hospitals. In this multi-agent system, the patient agents compete over the scarce hospital resources. Moreover to improve the overall solution, the agents then negotiate with one another. To this end, a market mechanism is described, in which each self interested agent tries to improve its own situation. In particular we focus on how the agents can calculate demand and supply prices based upon their current schedule. Further, an evaluation of first results of the proposed method is given.