Conference Information

KI 2019: German Conference on Artificial Intelligence

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Submission Date:
2019-05-17
Notification Date:
2019-06-28
Conference Date:
2019-09-23
Location:
Kassel, Germany
Years:
42
Viewed: 16079   Tracked: 2   Attend: 0

Conference Partner Index (CP-I)

53.1 / 100
Ranked #1,055 of 5,693 conferences · Top 19%

#91 of 742 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
100
Community attention (10%)
19
Public record completeness (15%)
25

Inputs used: Editions on record: 42 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-03

Call For Papers

KI 2019 (German Conference on Artificial Intelligence) is an academic conference held in Kassel, Germany on 2019-09-23. The paper submission deadline is 2019-05-17. Acceptance notifications are sent on 2019-06-28.

KI 2019 will have a special focus on “AI methods for Argumentation” and we especially invite contributions that use methods from all areas of AI to understand, formalize or generate argument structures in natural language. The special focus will be organized in cooperation with the DFG funded priority program “RATIO: Robust Argumentation Machines”. Besides this special focus, KI 2019 invites original research and application papers on all aspects of AI research, including but not limited to the following: Agent-based and multi-agent systems AI applications and innovations Argumentation in AI Belief change Cognitive modelling AI and psychology Commonsense reasoning Computer vision Constraint satisfaction, search, and optimization Diagnosis and configuration Evolutionary computation Game playing and interactive entertainment Information retrieval, integration, and extraction Interactive and automated theorem proving Knowledge engineering and ontologies Knowledge representation and reasoning Knowledge discovery and data mining Machine learning Multidisciplinary AI Natural language processing Nonmonotonic reasoning and default logics Philosophical foundations of AI Planning and scheduling Recommender systems Responsible AI, normative reasoning Robotics Uncertainty in AI Web and information systems
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