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Cognitive Computation

Cognitive Computation OnlineFirst articles


Cognitive Modelling and Learning for Multimedia Mining and Understanding

Yang et al. proposed a novel deep density model, namely the Deep Mixtures of Factor Analyzers with Common Loadings (DMCFA), in which an efficient greedy layerwise unsupervised learning is utilized with a mixture of factor analysers sharing common …


An Improved Deep Polynomial Network Algorithm for Transcranial Sonography–Based Diagnosis of Parkinson’s Disease

Transcranial sonography (TCS) is a valid neuroimaging tool for the diagnosis of Parkinson’s disease (PD). The TCS-based computer-aided diagnosis (CAD) has attracted increasing attention in recent years, in which feature representation and pattern …


Modeling Marked Temporal Point Process Using Multi-relation Structure RNN

Event sequences with marker and timing information are available in a wide range of domains, from machine log in automatic train supervision systems to information cascades in social networks. Given the historical event sequences, predicting what …


Perceptions or Actions? Grounding How Agents Interact Within a Software Architecture for Cognitive Robotics

One of the aims of cognitive robotics is to endow robots with the ability to plan solutions for complex goals and then to enact those plans. Additionally, robots should react properly upon encountering unexpected changes in their environment that …


D-WASPAS: Addressing Social Cognition in Uncertain Decision-Making with an Application to a Sustainable Project Portfolio Problem

Decision-making is an interdisciplinary area that has roots in mathematics, economics, and social science. Multiple-criteria group decision-making (MCGDM) is one of the most applicable areas of decision-making. Social cognition is involved in …

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About this journal

Cognitive Computation is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving bio-inspired computational accounts of all aspects of natural and artificial cognitive systems.

It provides a new platform for the dissemination of research, current practices and future trends in the emerging discipline of cognitive computation that bridges gap between life sciences, social sciences, engineering, physical and mathematical sciences, and humanities.

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