Abstract

In the complex challenge of designing intelligent systems, an adequate representation of knowledge, sometimes considering uncertainty and incompleteness, and an easy-to-understand approach to automated reasoning are required. These are notable and widely recognized aspects of formal argumentation systems, suitable for making decisions through software agents trained in solving real problems of different nature such as explainability and interpretability of results, hybrid KR&R-machine learning, query answering under different kinds of uncertainty, cybersecurity, semantic web, and multi-agent systems.

The growing demand for explainability of expert systems operating in specific domains, such as engineering,

medical, or legal, where decisions can lead to high-impact consequences, is also confirmed by the increasing demand that humans can clearly understand the decisions provided by expert systems.

The overall aim of this special issue is to collect state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of formal argumentation. Proposed submissions should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions. This special issue should be of interest to the AI community, whose topics of interest include, but are not limited to the following:

  • Real-world applications of Argumentation Systems involving Knowledge Based Systems;

  • Extensions of existing argumentation formalisms, including studies of their computational complexity and their application in practice;

  • Studies about the relationship between different argumentation formalisms, e.g., different extension-based and gradual semantics, probabilistic and preference-based approaches;

  • Studies about the relationship between different logic formalisms and argumentation formalisms, e.g., Dung frameworks, Value-based AFs, Abstract Dialectical Frameworks, High-Order AFs, Assumption-Based Argumentation, ASPIC+, Logic-based Argumentation, Defeasible Logic Programming;

  • Studies concerning explainability and interpretability of results in argumentation-based systems;

  • Implementation of argumentation formalisms/semantics based on different logic formalisms;

  • Developments of argumentation-based systems;

  • Argumentation theories and logical foundations;

  • Hybrid systems involving argumentation-based reasoning. e.g., argumentation mining, argumentation and logic, argumentation and machine learning, and others;

  • Computational issues regarding argumentation-based reasoning.

Intelligent Systems with Applications (ISWA) is a peer reviewed Scopus-Indexed open-access journal which focuses on the achievements of research and applications related to intelligent systems (IS). IS can be applied to all aspects of human enterprize, such as business & finance, manufacturing & supply chains, agriculture, transportation, engineering, medicine and health, education, entertainment, culture, travel, media, the Internet, etc. ISWA covers a broad spectrum of applications in the community, including industry, government, and academia.

The journal aims to publish papers dealing with, but not limited to, the following research fields: Knowledge Representation and Reasoning, Machine Learning (ML) and Neural Computing, Evolutionary Computation, Fuzzy Systems, Intelligent Information Processing, Intelligent Control and Robotics, Multi-agent Systems and Programming.

The journal welcomes submissions of IS-applications in various areas: Intelligent Cities, Industries, Consuming, Medical Treatment and Health, Agriculture, Business and Finance, Internet of Things (IoT). Research addressing IS-applications in other fields is also encouraged.

Submissions must be novel, technically sound, and clearly presented. ISWA accepts both regular papers and survey articles. Submissions meeting journal criteria will undergo a single-blind review process, utilizing a minimum of two (2) external referees. Our dedicated editorial team, together with active researchers from related fields, will ensure that papers move through the evaluation and review as rapidly as possible without compromising on the quality of the process.

Submission Format and Guidelines

This special issue seeks contributions describing original research which has not been published nor is currently under review by other journals or conferences. Papers will be evaluated based on their originality, presentation, relevance, and contribution to research and development of argumentation and their suitability and quality regarding both technical contributions and written presentation. Significant extension of papers published in related conferences is encouraged; in that case, the authors should clearly identify such submissions making explicit the differences and additional contributions. The information should be clearly indicated in the manuscript. The Guest Editors will check the suitability and scope of all submissions before sending them out for peer review.

Author guidelines for the preparation of manuscripts can be found at https://www.elsevier.com/journals/expert-systems-with-applications/0957-4174/guide-for-authors.

Intelligent Systems with Applications (ISWA) is a Gold Open Access journal.
All submissions to ISWA before 21
th January 2022 will waive the full APC (Article Processing Charge) no matter when the editorial acceptance deadline (July 2022).

Schedule

  • Date CFP published online: October 1, 2021

  • Submissions open: December 15, 2021

  • Manuscript Submission Deadline: January 21, 2022 (Strict*)

  • Date first review round completed: May 1, 2022

  • Date revised manuscripts due: July 8, 2022

  • Editorial Acceptance due: July 31, 2022

    *
    All submissions to ISWA before 21th January 2022 will waive the full APC (Article Processing Charge) no matter when the editorial acceptance deadline (July 2022).

Guest Editors

Please do not hesitate to contact us in case you have any inquiries.

Guillermo R. Simari

Contact info:

grs@cs.uns.edu.ar


Gianvincenzo Alfano

Contact info:

g.alfano@dimes.unical.it


Irina Trubitsyna

Contact info:

i.trubitsyna@dimes.unical.it