By Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales
Multi-agent structures are probably the most fascinating examine components in synthetic Intelligence. This ebook reviews at the effects completed during this zone, discusses the advantages (and drawbacks) that agent-based platforms could carry to scientific domain names and society, and in addition presents a listing of the study subject matters that are meant to be tackled within the close to destiny to make the deployment of health-care agent-based structures a fact. present themes of analysis contain verbal exchange and co-operation among disbursed clever brokers to regulate sufferer care.
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Extra info for Agent Technology and e-Health (Whitestein Series in Software Agent Technologies and Autonomic Computing)
Second, no dependencies are required between agents within the system in order to record process documentation: recording is performed independently and autonomously, and no agent is assumed to have access to the state of any other. Third, while conceptually being recorded during execution, documentation of a process can be recorded asynchronously from the process itself. Both the latter two issues are important factors in preserving the performance of large-scale systems. Finally, the application will not be adversely affected if accurate documentation is not available, because few assumptions are made about the documentation.
The details of this extension can be found in [31, 32]. The Agent Factory Agent processes the clinical guideline deﬁnitions represented in our extended model, and based on the semantic annotations of the external resources, discovers the instances of the speciﬁed resources that are relevant for our speciﬁc patient. This process can be summarized as follows: • In SAPHIRE architecture, the medical Web services exposing functionalities of healthcare information systems, and also the sensor Web services exposing the sensor data retrieved from wireless medical sensor devices are published to a UDDI registry by annotating them with their functionality semantics.
For the latter we describe the Organ Transplant Management Application (OTMA), one of the demonstrator applications developed. Keywords. Provenance, software agents, healthcare. 1. Introduction The importance of understanding the process by which a result was generated is fundamental to many real-life applications in science, engineering, medical domain, supply management, etc. Without such information, users cannot reproduce, analyze or validate processes or experiments. Provenance is therefore important to enable users, scientists and engineers to trace how a particular result came about.