COGNITIVE 2017, The Ninth International Conference on Advanced Cognitive Technologies and Applications

Type: conference

Notes: IARIA Conference.

Editors:
Vincent Gripon, IMTA / Lab-STICC, France
Olga Chernavskaya, Lebeved Physical Institute, Moscow, Russia
Paul Smart, University of Southampton, UK
Tiago Thompsen Primo, Samsung Research Institute, Brazil

ISSN: 2308-4197

ISBN: 978-1-61208-531-9

Location: Athens, Greece

Dates: from February 19, 2017 to February 23, 2017

Articles: there are 18 articles

The Hippocampus According to the Ouroboros Model, the "Expanding Memory Index Hypothesis"
Knud Thomsen
keywords: Cognition; schema; iterative processing; discrepancy monitoring; hypercycle; hash table; extreme learning machine.

Performance of Neural Clique Networks Subject to Synaptic Noise
Eliott Coyac, Vincent Gripon, Charlotte Langlais, and Claude Berrou
keywords: associative memories; neural clique networks; synaptic noise

The Implementation of Noradrenaline in the NeuCogAr Cognitive Architecture
Max Talanov, Mariya Zagulova, Salvatore Distefano, Jordi Vallverdu, Boris Pinus, and Alexey Leukhin
keywords: spiking neural networks; artificial emotions; affective computing

A Neurochemical Framework to Stress and the Role of the Endogenous Opioid System in the Control of Heart Rate Variability for Cognitive Load
Sergey Parin, Anna Polevaia, and Sofia Polevaia
keywords: endogenous opioid system; heart rate variability; cognitive function

Two-Component Scheme of Cognitive System Organization: the Hippocampus-Inspired Model
Ekaterina D. Kazimirova
keywords: emotion; symbol; cognitive architecture; hippocampus; industrial system

On the Possibility to Interpret Aesthetic Emotions and the Concept of Chef-D’oeuvre in an Artificial Cognitive System
Olga Chernavskaya and Yaroslav Rozhylo
keywords: emotions;neuroprocessor; noise; paradox; ambiguity; weak connections.

Enhancing Learning Objects for Digital Education
Tiago Thompsen Primo
keywords: Digital Education; Adaptive Learning; Computational Intelligence; Mobile Computing; Smart Environments.

Estimating Student's Viewpoint to Learning from Lecture/Self-Evaluation Texts
Toshiro Minami, Yoko Ohura, and Kensuke Baba
keywords: Text Mining; Text Analysis; Term-usage; Educational Data Mining; Lecture Data Analytics

Skill Acquisition Model using Task Performance and Physiological Indices.
Yoshimasa Ohmoto, Takahiro Matsuda, and Toyoaki Nishida
keywords: Skill acquisition model; mental state estimation; physiological indices

Learning by Building Cognitive Models that Reflect Cognitive Information Processing: A Preliminary Class Exercise
Kazuhisa Miwa and Hitoshi Terai
keywords: Cognitive Models; Procedural Knowledge; Production System

Incremental Face Recognition by Tagged Neural Cliques
Ehsan Sedgh Gooya and Dominique Pastor
keywords: Face recognition; incremental learning; neural tagged cliques; SIFT (Scale-Invariant Feature Transform) features.

Finding All Matches in a Database using Binary Neural Networks
Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, and Michel Jezequel
keywords: Neural Networks, Associative Memories, Sparse Coding, Iterative Information Processing

A Study of Deep Learning Robustness Against Computation Failures
Jean-Charles Vialatte and Francois Leduc-Primeau
keywords: Deep learning; quasi-synchronous circuits; energy-efficient computing

Sparse Clustered Neural Networks for the Assignment Problem
Said Medjkouh, Bowen Xue, and Ghouthi Boukli Hacene
keywords: assignment problem, artificial neural networks, hungarian algorithm.

An Intrinsic Difference Between Vanilla RNNs and GRU Models
Tristan Sterin, Nicolas Farrugia, and Vincent Gripon
keywords: Recurrent Neural Networks,Gradient Backpropagation,Grammatical Inference,Dynamical Systems

Conversational Homes
Nick O'Leary, Dave Braines, Alun Preece, and Will Webberley
keywords: IoT; Controlled Natural Language; Conversational Interaction

Towards A Distributed Federated Brain Architecture using Cognitive IoT Devices
Dinesh Verma, Graham Bent, and Ian Taylor
keywords: distributed brain, IoT, distributed analytics, distributed learning, cognitive computing, symbolic vector representations

Machine Intelligence and the Social Web: How to Get a Cognitive Upgrade
Paul Smart
keywords: social web; social intelligence; language; machine intelligence; machine learning.