Special Issue on Bridging Cognitive Models and Recommender Systems (CC-CogM+RS) @ Cognitive Computation (Springer) | Marie Curie Alumni Association

Special Issue on Bridging Cognitive Models and Recommender Systems (CC-CogM+RS) @ Cognitive Computation (Springer)

Zoe Falomir's picture

 

Dear Colleagues,

we are launching a special issue on Bridging Cognitive Models and Recommender Systems in collaboration with "Cognitive Computation" journal at Springer. We encourage all interested researchers to submit their papers. Please let us know if you'd like to submit but are unable to meet the deadline.

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Cognitive Computation
Special Issue on Bridging Cognitive Models and Recommender Systems (CC-CogM+RS)

Call for Papers

Deadline: January 15th, 2018
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BACKGROUND:
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.


TOPICS COVERED:
- 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 perception/cognition.
- Cognitive Robotics.
- Applications involving topics from above and focused on: education, robotics, creativity, ambient-intelligence, health-care


SUBMISSION:
Manuscripts should be prepared according to the "Instructions For Authors" of the journal found at
http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=pltci_2094392
and submissions should be done through the EditorialManager system:
https://www.editorialmanager.com/cogn/default.aspx
selecting the category "SI: Bridging Cognitive Models and Recommender Systems,(CC-CogM+RS)"


SCHEDULING:
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


GUEST EDITORS:
- 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

FURTHER INFORMATION:
For further information, please contact Zoe Falomir (zfalomir at uni-bremen dot de)

Best regards,
 

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