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pro vyhledávání: '"Aerts, Bram"'
Knowledge-based AI typically depends on a knowledge engineer to construct a formal model of domain knowledge -- but what if domain experts could do this themselves? This paper describes an extension to the Decision Model and Notation (DMN) standard,
Externí odkaz:
http://arxiv.org/abs/2110.02610
This paper describes an extension to the DMN standard, called cDMN. It aims to enlarge the expressivity of DMN in order to solve more complex problems, while retaining DMN's goal of being readable by domain experts. We test cDMN by solving the most c
Externí odkaz:
http://arxiv.org/abs/2005.09998
Publikováno v:
In Expert Systems With Applications January 2022 187
Publikováno v:
Theory & Practice of Logic Programming; May2023, Vol. 23 Issue 3, p535-558, 24p
Autor:
Aerts, Bram
Knowledge representation is a field of research that focuses on representing real world information in an expressive form, in order to apply reasoning tasks to the represented knowledge to solve complex problems. The Knowledge Base Paradigm states th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1131::124181351c334c46c6904f4a4749b920
https://lirias.kuleuven.be/handle/123456789/658138
https://lirias.kuleuven.be/handle/123456789/658138
Autor:
Aerts, Bram, Vennekens, Joost
This paper describes an application worked out in collaboration with a company that produces made-to-order machine components. The goal of the project is to develop a system that can support the company's engineers by automating parts of their compon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc6eae6043d9803dc35d8937a9c8ec17
Hiring a professional camera crew to cover an event such as a lecture, sports game or musical performance may be prohibitively expensive. The CAMETRON project aims at drastically reducing this cost by developing an (almost) fully automated system tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b0a274b161c3a60f220c9f7962413703
https://diglib.eg.org/handle/10.2312/2631243
https://diglib.eg.org/handle/10.2312/2631243