Special Issue "Advances in Explainable Artificial Intelligence and Edge Computing Applications"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 31 January 2022.

Special Issue Editors

Prof. Dr. Juan M. Corchado
E-Mail Website
Guest Editor
BISITE Research Group, Edificio Multiusos I+D+i, University of Salamanca, 37007 Salamanca, Spain
Interests: artificial Intelligence; machine learning; edge computing; distributed computing; Blockchain; consensus model; smart cities; smart grid
Special Issues and Collections in MDPI journals
Prof. Dr. Sascha Ossowski
E-Mail Website
Guest Editor
Universidad Rey Juan Carlos, Centre for Intelligent Information Technologies (CETINIA), Mostoles, Spain
Interests: software systems; artificial intelligence
Prof. Dr. Sara Rodriguez
E-Mail Website
Guest Editor
BISITE Research Group, University of Salamanca, 37007 Salamanca, Spain
Interests: artificial Intelligence; machine learning; edge computing; distributed computing; Blockchain
Special Issues and Collections in MDPI journals
Prof. Dr. Fernando De la Prieta
E-Mail Website
Guest Editor
BISITE Research Group, University of Salamanca, 37007 Salamanca, Spain
Interests: artificial intelligence; multiagent systems; cloud computing and distributed systems; technology enhanced learning
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial Intelligence (AI) and its applications have undergone remarkable experimental development in the last decade and are now the basis for a large number of decision support systems. There are countless models and algorithms, with different typologies, and their applications are highly varied in terms of both configuration and use cases. In addition, there has been an increase in the number of tools that simplify the application of all the existing algorithms, and there are powerful data visualization systems. Although the success of AI has been demonstrated in many models, in many cases, these models lack mechanisms to explain why a given result is obtained. Many algorithms continue to be black boxes—they receive data and deliver results, but they do not provide any explanation.  

This Special Issue focuses on the concept of Explainable Artificial Intelligence (XAI). These models are applied to systems that complement each other, facilitating the parallel use of data treatment and knowledge processing algorithms. This makes it possible to simultaneously process both relational and non-relational data from databases and sources that generate data in real time, such as IoT sensors. To this end, the use of data analysis systems with AI algorithms and the parallel use of mathematical models for the creation of self-explanatory expert mixing models that incorporate, for example, deep symbolic learning, convolutional neural networks, compartmental mathematical models, dynamic data assimilation models, fuzzy systems, Bayesian networks, etc. as well as other models from the field of machine learning are of interest. 

This Special Issue invites papers on all those research approaches focused on the relationship between evolution in the area of transport with a high incidence in the environment from the perspective of efficiency, which has become one of the neuralgic centers of sustainability. The aim of the issue is to encourage the better production, consumption, and movement of goods, as well as the movement of people with fewer resources and a smaller environmental impact. 

The topics of interest in this issue include but are not limited to:

  • Distributed problem solving;
  • Agent cooperation and negotiation;
  • Human agent interaction, social networks, virtual communities;
  • Reputation, trust, privacy, and security;
  • Agent engineering and development tools;
  • Internet of Things, sensors, and actuators;
  • Big data and machine learning;
  • Smart cities, smart homes, smart buildings, smart health, smart mobility, and transportation;
  • Semantic web, linked data;
  • Expert systems;
  • Edge computing, Machine learning, etc.;
  • Deep intelligence. 

This Special Issue concerns extended research presented during the set of the following conferences: PAAMS, DCAI, ISAmI, PACBB, MIS4TEL, and BLOCKCHAIN.

Prof. Dr. Juan M. Corchado
Prof. Dr. Sascha Ossowski
Prof. Dr. Sara Rodriguez
Prof. Dr. Fernando De la Prieta
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Explainable Artificial Intelligence
  • Deep Learning
  • Agent engineering

Published Papers

This special issue is now open for submission.
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