By Joanna Kolodziej, Luís Correia, José Manuel Molina
This e-book provides new techniques that increase examine in all features of agent-based types, applied sciences, simulations and implementations for facts extensive purposes. The 9 chapters include a overview of modern cross-disciplinary ways in cloud environments and multi-agent platforms, and critical formulations of knowledge in depth difficulties in disbursed computational environments including the presentation of recent agent-based instruments to deal with these difficulties and massive information in general.
This quantity can function a reference for college students, researchers and practitioners operating in or drawn to becoming a member of interdisciplinary paintings within the parts of information in depth computing and massive information structures utilizing emergent large-scale allotted computing paradigms. it's going to additionally permit newbies to understand key options and strength ideas on complex themes of idea, versions, applied sciences, procedure architectures and implementation of functions in Multi-Agent structures and knowledge extensive computing.
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Extra resources for Intelligent Agents in Data-intensive Computing
The exogenous and environmental factors, called ’confounding factors’, act as a noise in the system, amplifying some phenomena or creating new spurious perturbations. These perturbations may generate effects at a local level, with consequences limited in space and time, or at a global level, triggering resonances with important implications on the entire map. As Christakis and Fowler have underlined in , the social contagion mechanism produces a spread of some factors or behaviors, such as obesity, smoking or happiness.
The death of a family member or spouse, the infections, some therapeutic interventions and the adverse interactions between drugs and diseases, the outbreak of an epidemic, etc. The problem related to modelling the comorbidities, the social behaviors and all the possible consequences linked with some conditions, can be addressed only by exploiting a paradigm which fuses and integrates a large amount of different kinds of data derived from different contexts, ranging from microscopic sources, such as in body sensors, to macroscopic sources, linked with social relationships, communities, and globally social environment, more than clinical and medical data.
During a message processing, one or multiple actions can be activated (scheduled). An action encapsulates a basic timing consuming activity to be performed on behalf of the requesting actor. Action execution requires a computational resource (processing unit) for it to be carried out. Actors are mapped onto JADE agents (see also Fig. 1). Basic mechanisms like naming, setup, message-passing, migration etc. are directly borrowed from JADE. The following are the basic operations on actors: • newActor, for creating a new actor • become, for changing the behaviour (state) of the actor • (non-blocking) send for transmitting messages to acquaintance actors (including itself for proactive behaviour).