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Demo Data from EDBT 2026 / reviewers in the wild / expert

Anthony Herron

dblp:337/5602 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 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 · 50% Reinforcement learning · 50%

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

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning
action selection		 0.712023
An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract) · AAAI 2023
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic-based reasoning		 0.712023
An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract) · AAAI 2023

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

active logic · 0.7
YearPublicationVenuePosition
2023 An Analysis of the Deliberation and Task Performance of an Active Logic Based Agent (Student Abstract)
abstract
Active logic is a time-situated reasoner that can track the history of inferences, detect contradictions, and make parallel inferences in time. In this paper, we explore the behavior of an active-logic based agent on different sets of action selection axioms for a time-constrained target search task. We compare the performance of a baseline set of axioms that does not avoid redundant actions with five other axiom sets that avoid repeated actions but vary in their knowledge content. The results of these experiments show the importance of balancing boldness and caution for target search.
Anthony Herron, Darsana P. Josyula
 AAAI1