[robotics-worldwide] [journals] Cognitive Computation. Special Issue on Bridging Cognitive Models and Recommender Systems (CC-CogM+RS). Call for Papers

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[robotics-worldwide] [journals] Cognitive Computation. Special Issue on Bridging Cognitive Models and Recommender Systems (CC-CogM+RS). Call for Papers

Cecilio Angulo
Dear Colleagues,

In collaboration with the Springer "Cognitive Computation" journal, we
are launching a special issue on Bridging Cognitive Models and
Recommender Systems. We encourage all interested researchers to submit
their papers.

Cognitive Computation
Special Issue on Bridging Cognitive Models and Recommender Systems

Call for Papers

Deadline: January 15th, 2018

Please let us know if you'd like to submit but are unable to meet the

The aim of this special issue is to provide a space for researchers to
discuss the possible points of contact and to highlight the issues and
the advantages of bridging different fields for the study of cognitive
architectures for recommendation, as well as recommender systems shaping
cognitive architectures.

In recent conferences and meetings, we realized that this bridged topic
has not received sufficient attention. In our opinion, recommendations
should also be designed/evaluated taking into account cognitive and
emotional factors. This issue is closely related with key trends that
are in the peak of the Gartner's 2016 Hype Cycle for Emerging
Technologies (gartner.com/newsroom/id/3412017) as cognitive expert
advisors, machine learning or smart robots.

This bridge should be traveled in both sides. From one side, cognition
represents an ideal model to link different disciplines, as the field of
Robotics and that of Interaction studies, or the field of Decision
Support Systems and that of Information Retrieval. Cognitive
architectures are providing recommendations to an agent (a human or a
robot) in order to interact with the environment (perceived environment
or collected data).

On the other side, expert recommender systems, by getting assessment
from collaborative human expertise, can automate, in a cognitive way,
procedures and tasks, either for physical agents, like robots, or soft
agents collecting information from databases or Internet.

Interaction experiences bridging cognitive architectures and recommender
systems refers not only to objective measures related with the
associated task, but especially to the subjective ones: emotions, mood,
engagement, availability. Appealing architectures managing these
concerns consider fuzzy / hesitant / qualitative / uncertainty measures
and reasoning.

- Cognitive modeling, cognitive systems, cognitive architectures,
cognitive representations.
- Recommender systems, decision support systems, group decision making,
cognitive expert advisors.
- Context-aware systems, sentiment analysis, and social data analysis.
- Logic and reasoning, spatial thinking, spatio-temporal reasoning,
common-sense reasoning.
- Theoretical foundations of cognitive models and recommender systems:
machine learning, computational intelligence, data analysis and data
mining, knowledge acquisition and representation, adaptive
- Cognitive Robotics.
- Applications involving topics from above and focused on: education,
robotics, creativity, ambient-intelligence, health-care

Manuscripts should be prepared according to the "Instructions For
Authors" of the journal found at
and submissions should be done through the EditorialManager system:
selecting the category "SI: Bridging Cognitive Models and Recommender

Submissions Deadline: January 15th, 2018
First notification of acceptance: April 1st, 2018
Submission of revised papers: May 1st, 2018
Final notification to the authors: May 20th, 2018
Submission of final/camera-ready papers: June 15th, 2018
Publication of special issue: September 2018

- Prof. Dr. Cecilio Angulo, Universitat Politècnica de Catalunya - UPC
BarcelonaTECH , Spain
- Dr.-Ing. Zoe Falomir, Universität Bremen, Germany
- Prof. Dr. Davide Anguita, Università degli Studi di Genova, Italy
- Prof. Núria Agell, ESADE - Ramon Llull University, Spain
- Dr. Erik Cambria, Nanyang Technological University, Singapore

For further information, please contact Cecilio Angulo (cecilio dot
angulo at upc dot edu)

Best regards,

Cecilio Angulo
Universitat Politècnica de Catalunya · UPC BarcelonaTECH
ESAII Dept. Associate Professor. GREC Research Group's Leader
Building U - Office 506. Pau Gargallo 14. 08028 Barcelona, Spain
Tel. +34 9340 16976. Fax. +34 9340 17045

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