Daan Apeldoorn

Orcid: 0000-0001-5170-5893

According to our database1, Daan Apeldoorn authored at least 14 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Comprehensible knowledge base extraction for learning agents: practical challenges and applications in games.
PhD thesis, 2023

Comparison and Incorporation of Reasoning and Learning Approaches for Cancer Therapy Research.
Proceedings of the German Medical Data Sciences 2023 - Science. Close to People., 2023

2021
Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning.
IEEE Trans. Games, 2021

KI in der Schule - Teil 1: Einführung in die künstliche Intelligenz.
LOG IN, 2021

Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2021

Automated Creation of Expert Systems with the InteKRator Toolbox.
Proceedings of the German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal - Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF, 2021

2018
Forward Model Approximation for General Video Game Learning.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
Towards An Understanding of What is Learned: Extracting Multi-Abstraction-Level Knowledge from Learning Agents.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

An Agent-Based Learning Approach for Finding and Exploiting Heuristics in Unknown Environments.
Proceedings of the Thirteenth International Symposium on Commonsense Reasoning, 2017

Measuring strategic depth in games using hierarchical knowledge bases.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

2016
When Should Learning Agents Switch to Explicit Knowledge?
Proceedings of the GCAI 2016. 2nd Global Conference on Artificial Intelligence, September 19, 2016

2015
A Spatio-Temporal Multiagent Simulation Framework for Reusing Agents in Different Kinds of Scenarios.
Proceedings of the Multiagent System Technologies - 13th German Conference, 2015

Learning Rules for Cooperative Solving of Spatio-Temporal Problems.
Proceedings of the 5th Workshop on Dynamics of Knowledge and Belief (DKB-2015) and the 4th Workshop KI & Kognition (KIK-2015) co-located with 38th German Conference on Artificial Intelligence (KI-2015), 2015

2013
AbstractSwarm - A Generic Graphical Modeling Language for Multi-Agent Systems.
Proceedings of the Multiagent System Technologies - 11th German Conference, 2013


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