Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Eric J. Kildebeck

dblp:338/9456 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 77% Robot navigation and mapping · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › cognitive modeling
cognitive architecture
0.812024
A neurosymbolic cognitive architecture framework for handling novelties in open worlds · Artif. Intell. 2024

Methods — techniques the papers use, named apart from their topics

neuro-symbolic reasoning · 0.8cognitive architecture · 0.8
YearPublicationVenuePosition
2024 A neurosymbolic cognitive architecture framework for handling novelties in open worlds
Shivam Goel, Panagiotis Lymperopoulos, Ravenna Thielstrom, Evan A. Krause, Patrick Feeney, Pierrick Lorang, Sarah Schneider, Eric J. Kildebeck, Stephen A. Goss, Michael C. Hughes, Liping Liu 0001, Jivko Sinapov, Matthias Scheutz
Artif. Intell.9