By Isabelle Bichindaritz, Sachin Vaidya, Ashlesha Jain
This e-book is a continuation of the volumes offering quite a few per-spectives on computational intelligence in healthcare [1-3]. This ebook is aimed to supply a pattern of the country of artwork within the prac-tical purposes of computational intelligence paradigms in health-care. It contains nineteen chapters on utilizing quite a few computational clever paradigms in healthcare corresponding to clever brokers and case-based reasoning. a few functions and case reviews are provided. This ebook is concentrated in the direction of scientists, software engineers, pro-fessors, overall healthiness pros, professors and students.
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Extra info for Computational Intelligence in Healthcare 4: Advanced Methodologies
Example text
Agents can be dynamically deployed and managed into the system creating, for example, an Actor Agent associated to a new patient who will immediately allow and manage the interaction of the new user with the system in a personalized manner. In the K4Care platform, permanent Actor Agents also implement, by relying of the underlying data structures, the persistency necessary to maintain the execution state of user’s tasks. In this way, the inherent complexity of HC processes is transparently tackled by decomposing and coordinating individual agent’s executions.
Being inherently distributed, a MAS has the following interesting properties which offer an added value over classical software engineering paradigms: • Modularity: the different services or functionalities which are involved in a complex problem may be divided, distributed and modelled among diverse agents, depending on their complexity. In addition, a MAS allows for the interconnection and interoperation of multiple existing legacy systems. By building an agent wrapper around such systems, they can be incorporated into an agent society.
Reactivity. Agents may perceive their environment (physical world, a user, a collection of agents, the Internet, or a combination of all of them) and respond in a timely fashion to changes that occur in it. Those changes may be transmitted to the agent in the form of stimulus, signals or messages. 28 D. Sánchez, D. Isern, and A. Moreno • Pro-activeness. Agents do not simply act in response to their environment, they are able to exhibit goal-directed opportunistic behaviour and take the initiative when appropriate.