Journal Title
Title of Journal: Nat Comput
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Abbravation: Natural Computing
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Publisher
Springer Netherlands
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Authors: Andrzej Skowron Andrzej Jankowski
Publish Date: 2015/02/11
Volume: 15, Issue: 3, Pages: 465-476
Abstract
Understanding the nature of interactions is regarded as one of the biggest challenges in projects related to complex adaptive systems We discuss foundations for interactive computations in interactive intelligent systems IIS developed in the Wistech program and used for modeling complex systems We emphasize the key role of risk management in problem solving by IIS The considerations are based on experience gained in reallife projects concerning eg medical diagnosis and therapy support control of an unmanned helicopter fraud detection algorithmic trading or fire commander decision supportTraditional statistics is strong in devising ways of describing data and inferring distributional parameters from sample Causal inference requires two additional ingredients a sciencefriendly language for articulating causal knowledge and a mathematical machinery for processing that knowledge combining it with data and drawing new causal conclusions about a phenomenonInformation granules infogranules for short are widely discussed in the literature see eg Pedrycz et al 2008 In particular let us mention here the rough granular computing approach based on the rough set approach and its combination with other approaches to soft computing However the issues related to interactions of infogranules with the physical world and to perception of interactions in the physical world represented by infogranules are not well elaborated yet On the other hand the understanding of interactions is the critical issue of complex systems Goldin et al 2006 in which computations are progressing by interactions among information granules and physical objectsWe extend the existing approach to granular computing by introducing complex granules cgranules for short Jankowski 2015 making it possible to model interactive computations performed by agents in interactive intelligent systems IIS used for modeling of complex systems
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