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Guest Editorial Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis

Yizhang Jiang, Rui Qin, Liu Liu, Jiacun Wang, Reza Zare
2021 IEEE Transactions on Computational Social Systems  
presented in the Special Issue on "Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis."  ...  Guest Editorial Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis T HIS special section of IEEE TRANSACTIONS ON COM-PUTATIONAL SOCIAL SYSTEMS is a selection of nine articles  ... 
doi:10.1109/tcss.2021.3109357 fatcat:uwbs6olgqjd2jafmjiq2sglq2e

Table of contents

2021 IEEE Transactions on Computational Social Systems  
Xia 1132 1153 1163 TECHNICAL COMMUNICATION 1172 SPECIAL ISSUE ON ADVANCED MACHINE LEARNING ON COGNITIVE COMPUTING FOR HUMAN BEHAVIOR ANALYSIS GUEST EDITORIAL 1178 SPECIAL ISSUE PAPERS  ...  Raja Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tcss.2021.3109332 fatcat:d44jkbukyvcnrptnucpewgnfxq

Recent Advances in Learning Theory

Weihui Dai, Wlodzislaw Duch, Abdul Hanan Abdullah, Dongrong Xu, Ye-Sho Chen
2015 Computational Intelligence and Neuroscience  
Acknowledgments We are grateful to the editors for hosting this special issue and many thanks are due to the staff for their precious advice during the editorial process of the special issue.  ...  Machine Learning in Psychological Computation and Behavior Analysis The paper titled "CyberPsychological Computation on Social Community of Ubiquitous Learning" by X.  ...  Analysis, Machine Learning in Public Management and Business Service, and Machine Learning in Knowledge Discovery and Human-Computer Engineering.  ... 
doi:10.1155/2015/395948 pmid:26649035 pmcid:PMC4663317 fatcat:3vsdzsb6nvd2nhecbtbqbpsqce

Reverse engineering the cognitive brain

G. Cauwenberghs
2013 Proceedings of the National Academy of Sciences of the United States of America  
computation acquired through deep learning, targeting human cognitive performance.  ...  One of the greatest aspirations of the human mind has been to realize machines that surpass its cognitive intelligence.  ... 
doi:10.1073/pnas.1313114110 pmid:24029019 pmcid:PMC3785732 fatcat:odrcojmayjemziwig4kpzeosky

Cognitive Computing

Shama Firdous
2021 Zenodo  
In particular, cognitive computing systems can be regarded as a "more human" artificial intelligence.  ...  Cognitive computing is the new wave of Artificial Intelligence (AI), relying on traditional techniques based on expert systems and also exploiting statistics and mathematical models.  ...  They will be based on human cognitive capabilities simulation, through sophisticated machine learning algorithms inherited from the field of Artificial Intelligence (AI), as well as on the imitation of  ... 
doi:10.5281/zenodo.4730212 fatcat:olaqjxvqb5hdpmtnl3emaazdrq

Hybrid Intelligence in Big Data Environment: Concepts, Architectures, and Applications of Intelligent Service

Zhenghao Liu, Xi Zeng
2021 Data and Information Management  
The proposed advanced humancomputer interaction mode constructs a hybrid intelligent architecture model, enriches the concept system of humanmachine hybrid intelligence, and provides a new landing scheme  ...  The intelligent service system based on the hybrid intelligent architecture takes knowledge fusion as the core, and "cloud intelligent brain" is making it possible for the humancomputer symbiosis driven  ...  Zeng Xi was responsible for writing and revising the English language of the paper.  ... 
doi:10.2478/dim-2020-0051 fatcat:z27hcnyj2zesjojnnudbg4lthy

Cognitive and Emotional Information Processing for Human–Machine Interaction

Stefano Squartini, Björn Schuller, Amir Hussain
2012 Cognitive Computation  
In particular, HMI researchers have been working hard to maximize the naturalness of the interaction itself by reducing the gap between the cognitive and emotional model behind human behavior and the machine  ...  Human-machine interaction (HMI) has been widely addressed in the literature and also encountered strong commercial interest in the last two decades: a number of advanced solutions have been proposed in  ...  In particular, HMI researchers have been working hard to maximize the naturalness of the interaction itself by reducing the gap between the cognitive and emotional model behind human behavior and the machine  ... 
doi:10.1007/s12559-012-9180-1 fatcat:vef5oevrpvfi3c6ukhtybeogki

Human, Model and Machine

Robert Thomson, Christian Lebiere, Stefano Bennati
2014 Proceedings of the 2014 Workshop on Human Centered Big Data Research - HCBDR '14  
The role for human data scientists is both oversight and feedback; one complementary piece of a hierarchy of cognitive and machine learning techniques that are computationally appropriate for their level  ...  We accomplish this through the use of cognitive models as an intermediary between machine learning algorithms and human data scientists.  ...  BACKGROUND The effective and efficient analysis of big data requires the complementary engagement of human data scientists, cognitive models, and machine learning algorithms.  ... 
doi:10.1145/2609876.2609883 fatcat:6cacaj5e6bdjfgphaka5lnqqnm

Using Digital Twins and Intelligent Cognitive Agencies to Build Platforms for Automated CxO Future of Work [article]

John-Thones Amenyo
2018 arXiv   pre-print
In this paper, design principles based on computational thinking are used to engineer the architecture and infrastructure for such CxO automation platforms.  ...  AI, Algorithms and Machine based automation of executive functions in enterprises and institutions is an important niche in the current considerations about the impact of digitalization on the future of  ...  and purposive learning and cognitive activities and behaviors. d) Learning and cognition models that emphasizes Computational thinking (computational learning: computational models of thinking and learning  ... 
arXiv:1808.07627v1 fatcat:s74bfjresbc3lipkgcrkzsrobe


2013 New Mathematics and Natural Computation  
This paper presents an innovative concept of behavior prediction for decision and control in cognitive autonomous systems.  ...  The concept of quantum probability is proposed to construct a uni¯ed mathematical framework for interfacing between models of human cognition and machine intelligence.  ...  Summary, Conclusions and Future Work Despite signi¯cant advances in both¯elds of arti¯cial intelligence and machine learning, autonomous systems remain heavily dependent on human operators for reasoning  ... 
doi:10.1142/s1793005713400061 fatcat:yd6deiyvjfei7dgzdigvxy3rfa

Reports on the 2016 IJCAI Workshop Series

Biplav Srivastava, Gita Sukthankar
2017 The AI Magazine  
This report summarizes the 39 workshops held as part of the 2016 International Joint Conference on Artificial Intelligence, held in New York, NY from July 9–11.  ...  Interactive Machine Learning: Connecting Humans and Machines The Interactive Machine Learning workshop focused on the design and analysis of algorithms that facilitate machine learning with the help of  ...  behavior and to provide more sophisticated machine-learning applications.  ... 
doi:10.1609/aimag.v37i4.2689 fatcat:d5a2crnwy5dzhdchqzed4ghfpy

Artificial Intelligence and Cognitive Analytics approaches towards Efficient Predictions for Business Intelligence

Salil Kanetkar, Neha Chanchlani
2014 International Journal of Computer Applications  
COGNITIVE COMPUTING Cognitive computing is the simulation of human thought processes in a computerized model.  ...  Machine Learning As the name suggests, machine learning is engineering systems that can learn based on experience and recognize various trends in the data.  ... 
doi:10.5120/18146-9409 fatcat:vjepvoslfbeznotpshll2q4cl4

Human-Machine Inference Networks For Smart Decision Making: Opportunities and Challenges [article]

Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
2018 arXiv   pre-print
While inference performance optimization techniques for human-only or sensor-only networks are quite mature, HuMaINs require novel signal processing and machine learning solutions.  ...  The emerging paradigm of Human-Machine Inference Networks (HuMaINs) combines complementary cognitive strengths of humans and machines in an intelligent manner to tackle various inference tasks and achieves  ...  Observe human behavior Build behavioral models (Re)Design human-machine systems There are two specific research directions while developing BSP algorithms for HuMaINs: 1.  ... 
arXiv:1801.09626v1 fatcat:s6ou7jzjr5dkjjeuuphprxqvoi

Page 332 of Behavior Research Methods Vol. 17, Issue 2 [page]

1985 Behavior Research Methods  
The Class VI machines are FORTRAN-oriented, but their general speed and size make them useful for all computation¬ intensive projects.  ...  This ap¬ proach to perception and cognition could be enhanced im¬ mediately and substantially advanced by ready access to high-spe^ vector-based machines.  ... 

Language Learning and Processing in People and Machines

Aida Nematzadeh, Richard Futrell, Roger Levy
2019 Proceedings of the 2019 Conference of the North  
lessons in designing computational (cognitive) models that exhibit human-like language performance.  ...  Word learning is similar to the word alignment problem in machine translation.  ...  -Email: -Website: -Research interests: I draw on the intersection of machine learning, cognitive science, and computational linguistics to investigate how  ... 
doi:10.18653/v1/n19-5005 dblp:conf/naacl/NematzadehFL19 fatcat:ra275bllebbw7bcjkjouseip6m
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