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Publication series : Modern Fuzzy Control Systems and Its Applications
Author: Peter Hofmann
Publisher: IntechOpen
Publication year: 2017
E-ISBN: INT6583467899
P-ISBN(Paperback): 9789535133896
P-ISBN(Hardback): 9789535133902
Subject: O29 applied mathematics
Keyword: 应用数学
Language: ENG
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A Fuzzy Belief-Desire-Intention Model for Agent-Based Image Analysis
Description
Recent methods of image analysis in remote sensing lack a sufficient grade of robustness and transferability. Methods such as object-based image analysis (OBIA) achieve satisfying results on single images. However, the underlying rule sets for OBIA are usually too complex to be directly applied on a variety of image data without any adaptations or human interactions. Thus, recent research projects investigate the potential for integrating the agent-based paradigm with OBIA. Agent-based systems are highly adaptive and therefore robust, even under varying environmental conditions. In the context of image analysis, this means that even if the image data to be analyzed varies slightly (e.g., due to seasonal effects, different locations, atmospheric conditions, or even a slightly different sensor), agent-based methods allow to autonomously adapt existing analysis rules or segmentation results according to changing imaging situations. The basis for individual software agents’ behavior is a so-called believe-desire-intention (BDI) model. Basically, the BDI describes for each individual agent its goal(s), its assumed current situation, and some action rules potentially supporting each agent to achieve its goals. The chapter introduces a believe-desire-intention (BDI) model based on fuzzy rules in the context of agent-based image analysis, which extends the classic OBIA paradigm by the agent-based paradigm.
Chapter