Full Papers

Accepted papers will be submitted to inclusion into  IEEE Xplore Database, SCOPUS and selected contributions will be published in the Springer Verlag Edition book collection. After additional review, selected papers should also be considered as perspective for high ranking journals.

Authors are asked to submit their full paper electronically until June 20, 2018, through the electronic paper submission system on this website. The official language of the symposium is English. Authors should submit an IEEE standard double-column paper with the minimum of 4 full pages, and maximum pages of 7. The paper template is available here. You can find instructions how to prepare your paper hereThe paper should be original and unpublished. Please, do not copy from other publications, because the paper will be checked by the IEEE plagiarism detection software, and it will indicate if there are copied parts. IEEE takes it very seriously, here are all the details regarding plagiarism. If your paper is not original, not the authors’ own work, or submitted to other conferences or journals, or a copy of another paper, then the paper is removed at once. It is not even allowed to copy from the author’s own paper. The paper may be checked against plagiarism at any time during the review process from submission until publication. ‘Pay to publish’ is not allowed by IEEE, at least one author of the paper must show up and present it at the conference.

Symposium and papers language is English.

Topics include, but are not limited to:

    • Embodied and Non-embodied Intelligence
    • Industry 4.0 Concepts and Principles
    • Cloud Services for Intelligent Solutions
    • Symbolic AI
    • Ontologies and Knowledge Representation
    • Expert Systems
    • Intelligent Robotics
    • Cloud Robotics
    • Human-Robot (Computer)  Interaction
    • Service and Social Robotics
    • Intelligent Decision Support Systems
    • Intelligent Logistics and Planning
    • Computational Intelligence
    • Machine Learning 
    • Neural Networks
    • Intelligence for Big Data and Data Mining 
    • Fuzzy Systems
    • Evolutionary Computations
    • Intelligent Complex Systems
    • AI Supported by Cloud Computing
    • Bio-inspired Artificial Intelligence
    • Knowledge-based Systems
    • Digital Intelligence for Cyber-physical Systems
    • Mixed and Virtual Reality Systems
    • Digital Intelligence for Internet of Things & Everything
    • Multidisciplinary Approach to Intelligence

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