Knowledge Representation and Reasoning
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Analysis of Algorithms and Complexity Theory".
Deadline for manuscript submissions: closed (1 October 2023) | Viewed by 1314
Special Issue Editor
Interests: artificial intelligence; knowledge representation and reasoning; logic programming; answer set programming; ontological reasoning; database theory; description logics; game theory; information extraction from the WEB; random satisfiability; quantified boolean formulas
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Knowledge representation and reasoning (KRR) is a well-established and highly relevant research field within artificial intelligence that has contributed significantly to advancements in various research areas, including automated planning, natural language understanding, robotics, cybersecurity, and more. KRR techniques are key drivers of innovation in computer science and have led to the development of efficient algorithms for various tasks.
One of the primary algorithmic aspects of KRR is the use of symbolic reasoning techniques, such as logic programming and constraint satisfaction, which have been instrumental in the development of automated reasoning systems for tasks such as theorem proving, diagnosis, and planning. Another algorithmic aspect of KRR is the use of probabilistic reasoning techniques for dealing with uncertainty and incomplete information, which has led to the development of probabilistic programming and Bayesian networks.
KRR also involves the use of machine learning techniques for knowledge acquisition and induction, such as inductive logic programming and knowledge discovery in databases. These techniques have been effective in discovering patterns and regularities in large datasets and inducing logical theories from examples.
This Special Issue welcomes submissions that focus on various algorithmic aspects of KRR and their applications. We invite researchers to contribute to this issue to showcase how KRR has led to the development of efficient and effective algorithms for a wide range of applications, making it a crucial research field within artificial intelligence.
Dr. Giovanni Amendola
Guest Editor
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 submissions that pass pre-check are 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. Algorithms is an international peer-reviewed open access monthly 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 1600 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
- description logics
- KRR and autonomous agents
- KRR and cognitive robotics
- KRR and cyber-security
- KRR and education
- KRR and game theory
- KRR and machine learning
- KRR and natural language understanding
- KRR and the web
- knowledge graphs
- logic programming
- modeling and reasoning about preferences
- nonmonotonic reasoning
- ontology-based reasoning
- philosophical foundations of KRR
- planning
- qualitative reasoning
- reasoning about actions, belief, change and causality
- similarity-based reasoning
- spatial and temporal reasoning
- uncertainty, inconsistency and fuzzy reasoning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
