CfP Neural-Symbolic Networks for Cognitive Capacities

Call for Papers: Journal Special Issue on == Neural-Symbolic Networks for Cognitive Capacities ==

Call for Papers: Journal Special Issue on


== Neural-Symbolic Networks for Cognitive Capacities ==


Tarek R. Besold, Artur d'Avila Garcez, Kai-Uwe Kühnberger, Terrence C. Stewart


Special issue of the 

Elsevier Journal on Biologically Inspired Cognitive Architectures (BICA)




Researchers in artificial intelligence and cognitive systems modelling continue to face foundational challenges in their quest to develop plausible models and implementations of cognitive capacities and intelligence. One of the methodological core issues is the question of the integration between sub-symbolic and symbolic approaches to knowledge representation, learning and reasoning in cognitively-inspired models.


Network-based approaches very often enable flexible tools which can discover and process the internal structure of (possibly large) data sets. They promise to give rise to efficient signal-processing models which are biologically plausible and optimally suited for a wide range of applications, whilst possibly also offering an explanation of cognitive phenomena of the human brain.

Still, the extraction of high-level explicit (i.e. symbolic) knowledge from distributed low-level representations thus far has to be considered a mostly unsolved problem.


In recent years, network-based models have seen significant advancement in the wake of the development of the new "deep learning" family of approaches to machine learning. Due to the hierarchically structured nature of the underlying models, these developments have also reinvigorated efforts in overcoming the neural-symbolic divide.


The aim of the special issue is to bring together recent work developed in the field of network-based information processing in a cognitive context, which bridges the gap between different levels of description and paradigms and which sheds light onto canonical solutions or principled approaches occurring in the context of neural-symbolic integration to modelling or implementing cognitive capacities.




We particularly encourage submissions related to the following non-exhaustive list of topics:


- new learning paradigms of network-based models addressing different knowledge levels

- biologically plausible methods and models

- integration of network models and symbolic reasoning

- cognitive systems using neural-symbolic paradigms

- extraction of symbolic knowledge from network-based representations

- challenging applications which have the potential to become benchmark problems

- visionary papers concerning the future of network approaches to cognitive modelling





Deadline for submissions is *** April 16, 2014 ***. 


The suggested submission category for the special issue is Research Article - up to 20 journal pages or 20,000 words -, while shorter submissions in the category Letter - up to 6 journal pages or 5000 words - are equally welcome.


Visionary papers dealing with the future of network approaches to cognitive modelling must belong to the category Research Article and are subject to prior acceptance by the editors. If you are planning on submitting to this category, please get in touch with Tarek R. Besold,


Submissions shall follow the guidelines laid out for the journal "Biologically Inspired Cognitive Architectures", which can be found under


Contributions shall be submitted via the journal's submission system which can be found under and in addition shall be sent by email as .pdf to Tarek R. Besold,


When submitting their papers online, authors are asked to select "Article Type" SI:Neural-Symbolic Net in order to assure identification of the submission as belonging to the special issue.


Please also indicate in the cover letter that the article has been submitted to the special issue on "Neural-Symbolic Networks for Cognitive Capacities".




Deadline for submissions: April 16, 2014

Feedback to authors*: May 9, 2014

Submission of revised versions: May 19, 2014

Final notification of acceptance: May 24, 2014

Publication of the special issue: July 2014 as Vol. 9 of "Biologically Inspired Cognitive Architectures"

(*= Including rejection / minor revisions / acceptance.)




Tarek R. Besold, Institute of Cognitive Science, University of Osnabrück, Germany

Artur D'Avila Garcez, Department of Computer Science, City University London, UK

Kai-Uwe Kühnberger, Institute of Cognitive Science, University of Osnabrück, Germany

Terrence C. Stewart, Centre for Theoretical Neuroscience, University of Waterloo, Canada