and Scope

We apply Artificial Intelligence in ever more application domains but AI still lacks the adaptability and resilience of most biological systems. One of those gaps is probabilistic reasoning and decision making. Nature as a paragon brings fuzzy reasoning, neuronal networks, and learning together, e.g., to decide on a fight-or-flight response. The inspiration of Computational Intelligence originating from natural systems, therefore, aims at closing this gap with theoretical results as well as applying them in real-world applications.

Call for

Like the IEEE Computational Intelligence Society which describes its focus as "the theory, design, application, and development of biologically and linguistically motivated computational paradigms emphasizing neural networks, connectionist systems, genetic algorithms, evolutionary programming, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained" the Workshop on Computational Intelligence aims to bring together scientists and specialist form industry to tackle some of the challenges of AI and their application.


Thus, we invite you to submit original research and application papers including but not limited to the following topics:

Download Call for Paper

Fuzzy logic

Probabilistic models of meaning
Probabilistic reasoning
Fuzzy inference
Decision making in uncertainty
Evaluation of Probabilistic Models

Neuronal Networks

Generalizations of neuronal networks
Explainable ANN
Spreading Activation

Evolutionary computations

Online Genetic Algorithms
ANN and generational learning
Biased Genetic Algorithms
Transfer learning with GA

Learning theory

Adversarial Learning
Reinforcement Learning


Conference website:

The workshop is part of the KI 2019 conference which will be held in conjunction with the 49th Annual Conference of the German Computer Science Association: INFORMATIK 2019 (
We invite papers, which have to be in English and formatted according to the Springer LNCS style, in the following category:
Full technical papers (12 pages max., excluding references) are expected to report on new research that makes a substantial technical contribution to the field. Additional details may be included in an appendix, which, however, will be read at the discretion of the PC.
Submission will be through the EasyChair conference management system.
The submission link is: Easy Chair
Full papers will be subject to blind peer review based on the standard criteria of relevance, the significance of results, originality of ideas, soundness, and quality of the presentation. Papers accepted in this process will be published in the main conference proceedings, published by Springer in the LNAI Lecture Notes of Artificial Intelligence series will be presented at the conference. At least one author of each accepted paper must register for the conference and present the contribution.

PC Chair

Prof. Dr. Johannes Fähndrich

Scientist on AI and semantic pragmatics and natural language understanding.
Hochschule für Polizei Baden-Württemberg

+49(0)176 70869963

Dr. Sebastian Ahrndt

Computer scientist on cognitive agents e.g. with personality and founder of the Curamatik UG.

Prof. Dr. Engelbrecht

Scientist on e.g. swarm optimization, Evolutionary Computation, ANN and Data Analytics.
Stellenbosch University

Prof. Dr. rer. nat. Frank Hoffmann

Scientist on Machine Learning, robotics and Fuzzy Systems.
TU Dortmund

Prof. Dr. Frank Klawonn

Scientist on Neuro-Fuzzy Systems, Evolutionary Algorithms and Fuzzy clustering and classification.
Ostfalia Hochschule für angewandte Wissenschaften

Prof. Dr. rer. nat. habil. Rudolf Kruse

Scientist on Neuro-Fuzzy Systems, Data Analytics and Fuzzy clustering and classification.
Universität Magdeburg

Task Deadline
Abstract Submission July 14th
Paper submission July 21th
Notifications August 15th
Final versions August 21th