Cognitive science

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Cognitive science is the interdisciplinary scientific study of minds as information processors. (Wikipedia.org)






Conferences related to Cognitive science

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2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.


2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchersin robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior,anthropology, and many other fields.

  • 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    The conference serves as the primary annual meeting for researchers in the field of human-robot interaction. The event will include a main papers track and additional sessions for posters, demos, and exhibits. Additionally, the conference program will include a full day of workshops and tutorials running in parallel.

  • 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    This conference focuses on the interaction between humans and robots.

  • 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very bestresearch and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary,reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificialintelligence, organizational behavior, anthropology, and many other fields.

  • 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single-track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics.

  • 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    TOPICS: Robot companions, Lifelike robots, Assistive (health & personal care) robotics, Remote robots, Mixed initiative interaction, Multi-modal interaction, Long-term interaction with robots, Awareness and monitoring of humans, Task allocation and coordination, Autonomy and trust, Robot-team learning, User studies of HRI, Experiments on HRI collaboration, Ethnography and field studies, HRI software architectures

  • 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    * Robot companions * Lifelike robots * Assistive (health & personal care) robotics * Remote robots * Mixed initiative interaction * Multi-modal interaction * Long-term interaction with robots * Awareness and monitoring of humans * Task allocation and coordination * Autonomy and trust * Robot-team learning * User studies of HRI * Experiments on HRI collaboration * Ethnography and field studies * HRI software architectures

  • 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics Individual vs. group HRI

  • 2007 2nd Annual Conference on Human-Robot Interaction (HRI)


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

The IEEE ICCI*CC series is a flagship conference of its field. It not only synergizes theories of modern information science, computer science, communication theories, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software science, knowledge science, cognitive robots, cognitive linguistics, and life science, but also promotes novel applications in cognitive computers, cognitive communications, computational intelligence, cognitive robots, cognitive systems, and the AI, IT, and software industries.

  • 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Informatics models of the brainCognitive processes of the brainThe cognitive foundation of big dataMachine consciousnessNeuroscience foundations of information processingDenotational mathematics (DM)Cognitive knowledge basesAutonomous machine learningNeural models of memoryInternal information processingCognitive sensors and networksCognitive linguisticsAbstract intelligence (aI)Cognitive information theoryCognitive information fusionCognitive computersCognitive systemsCognitive man-machine communicationCognitive InternetWorld-Wide Wisdoms (WWW+)Mathematical engineering for AICognitive vehicle systems Semantic computingDistributed intelligenceMathematical models of AICognitive signal processingCognitive image processing Artificial neural netsGenetic computingMATLAB models of AIBrain-inspired systemsNeuroinformaticsNeurological foundations of the brainSoftware simulations of the brainBrain-system interfacesNeurocomputingeBrain models

  • 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics is a transdisciplinary field that studies the internal information processing mechanisms of the brain, the underlying abstract intelligence theories and denotational mathematics, and their engineering applications in cognitive computing, computational intelligence, and cognitive systems. Cognitive Computing is a cutting-edge paradigm of intelligent computing methodologies and systems based on CI, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. CI and CC not only synergize theories of modern information science, computer science, communication theories, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software science, knowledge science, cognitive robots, cognitive linguistics, and life science, but also reveal exciting applications in cognitive computers, cognitive robots, and computational intelligence.

  • 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics (CI) is a transdisciplinary field that studies the internal information processing mechanisms of the brain, the underlying abstract intelligence (¿I) theories and denotational mathematics, and their engineering applications in cognitive computing, computational intelligence, and cognitive systems. Cognitive Computing (CC) is a cutting-edge paradigm of intelligent computing methodologies and systems based on cognitive informatics, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain.

  • 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    The scope of the conference covers cognitive informatics, cognitive computing, cognitive communications, computational intelligence, and computational linguitics.

  • 2014 IEEE 13th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive informatics, cognitive computing, cognitive science, cognitive robots, artificial intelligence, computational intelligence

  • 2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics (CI) is a cutting-edge and multidisciplinary research field that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software engineering, knowledge engineering, cognitive robots, scientific philosophy, cognitive linguistics, life sciences, and cognitive computing.

  • 2012 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 11th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 12) focuses on the theme of e-Brain and Cognitive Computers.

  • 2011 10th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 10th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 11) focuses on the theme of Cognitive Computers and the e-Brain.

  • 2010 9th IEEE International Conference on Cognitive Informatics (ICCI)

    Cognitive Informatics (CI) is a cutting-edge and transdisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, neuropsychology, medical science, systems science, software engineering, telecommunications, knowledge engineering, philosophy, linguistics, economics, management science, and life sciences.

  • 2009 8th IEEE International Conference on Cognitive Informatics (ICCI)

    The 8th IEEE International Conference on Cognitive Informatics (ICCI 09) focuses on the theme of Cognitive Computing and Semantic Mining. The objectives of ICCI'09 are to draw attention of researchers, practitioners, and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2008 7th IEEE International Conference on Cognitive Informatics (ICCI)

    The 7th IEEE International Conference on Cognitive Informatics (ICCI 08) focuses on the theme of Cognitive Computers and Computational Intelligence. The objectives of ICCI 08 are to draw attention of researchers, practitioners and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2007 6th IEEE International Conference on Cognitive Informatics (ICCI)

  • 2006 5th IEEE International Conference on Cognitive Informatics (ICCI)

  • 2005 4th IEEE International Conference on Cognitive Informatics (ICCI)


2019 IEEE 19th International Conference on Nanotechnology (IEEE-NANO)

DNA Nanotechnology Micro-to-nano-scale Bridging Nanobiology and Nanomedicine Nanoelectronics Nanomanufacturing and Nanofabrication Nano Robotics and Automation Nanomaterials Nano-optics, Nano-optoelectronics and Nanophotonics Nanofluidics Nanomagnetics Nano/Molecular Heat Transfer & Energy Conversion Nanoscale Communication and Networks Nano/Molecular Sensors, Actuators and Systems


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Periodicals related to Cognitive science

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Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


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Most published Xplore authors for Cognitive science

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Xplore Articles related to Cognitive science

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Technical communication: education problem

International Conference on Professional Communication,Communication Across the Sea: North American and European Practices, 1990

The author examines a major problem of technical communication, namely that the expert and the lay public usually cannot communicate without serious difficulty. He suggests that the solution to this problem consists of educating both parties that are involved in the process.<<ETX>>


IEE Colloquium on 'Symbolic and Neural Cognitive Engineering' (Digest No.1994/038)

IEE Colloquium on Symbolic and Neural Cognitive Engineering, 1994

None


2 SHUT IN, SHUT OUT

Mismatch: How Inclusion Shapes Design, None

Imagine you work in an office with other people. One day, you arrive at work to discover a new rule is in effect. Maybe it's sent to you by the CEO of the company, or simply printed on a poster by the coffee machine:


Hierarchical Chunking during Learning of Visuomotor Sequences

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006

It is well known that learning a sequential skill involves chaining a number of primitive actions together into chunks. We describe three different experiments using an explicit visuomotor sequence learning paradigm called the m times n task. The m times n task enables hierarchical learning of sequences by presenting m elements of the sequence at a time (called the set). ...


Using cellular automata as heuristic of computer Go

Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527), 2002

Based on the essential similarity of the cellular automata (CA) and the game of Go, this paper proposes a CA-based candidate move generator (GoCA) as well as the correlative knowledge represent method. A scheme for computer Go is also propounded. In which, GoCA perform the task of learning rules from expert game records, and then as a heuristic method, it ...


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Educational Resources on Cognitive science

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IEEE.tv Videos

A Conversation About Mind/Brain Research and AI Development: IEEE TechEthics Interview
Intelligent Systems for Deep Space Exploration: Solutions and Challenges - Roberto Furfaro
The Largest Cognitive Systems will be Optoelectronic: an ICRC 2018 Talk
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017
ICASSP 2010 - Advances in Neural Engineering
Mind/Brain Research and AI Development: How Do They Inform Each Other? - IEEE TechEthics Panel
Robotics History: Narratives and Networks Oral Histories: Raja Chatila
IEEE 125th Anniversary Media Event: Cognitive Computing
Robotics History: Narratives and Networks Oral Histories: Barbara Hayes Roth
Self-Organization with Information Theoretic Learning
Active Space-Body Perception and Body Enhancement using Dynamical Neural Systems
Shaping the Future Workforce: Transformative Impacts of Emerging Technologies | IEEE TechEthics Public Forum
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
Neural Cognitive Robot: Learning, Memory and Intelligence
TryEngineering Careers with Impact: Mataric
Supporting IEEE's Mission via Ethical Considerations of Technology | IEEE TechEthics Virtual Panel
Computing Paradigms: The Largest Cognitive Systems Will Be Optoelectronic - Jeff Shainline - ICRC 2018
Engineering Social Good: Technology and Moral Responsibility | IEEE TechEthics Virtual Panel
Gender-Based Occupational Stereotypes: New Behaviors, Old Attitudes - Carolyn Matheus & Elizabeth Quinn - IEEE WIE Forum USA East 2017
Cognitive RAN: Next Generation 6G Network - Parag Naik - India Mobile Congress, 2018

IEEE-USA E-Books

  • Technical communication: education problem

    The author examines a major problem of technical communication, namely that the expert and the lay public usually cannot communicate without serious difficulty. He suggests that the solution to this problem consists of educating both parties that are involved in the process.<<ETX>>

  • IEE Colloquium on 'Symbolic and Neural Cognitive Engineering' (Digest No.1994/038)

    None

  • 2 SHUT IN, SHUT OUT

    Imagine you work in an office with other people. One day, you arrive at work to discover a new rule is in effect. Maybe it's sent to you by the CEO of the company, or simply printed on a poster by the coffee machine:

  • Hierarchical Chunking during Learning of Visuomotor Sequences

    It is well known that learning a sequential skill involves chaining a number of primitive actions together into chunks. We describe three different experiments using an explicit visuomotor sequence learning paradigm called the m times n task. The m times n task enables hierarchical learning of sequences by presenting m elements of the sequence at a time (called the set). The entire sequence to be learned is composed of n such sets and is called a hyperset. In the first experiment, we showed the chunking phenomenon while learning a sequence as opposed to following randomly generated visual cues. We further explored the nature of chunking across sets using complex sequences in the second experiment. Finally, we investigated effector dependence of the chunking patterns in the third experiment. Our results point out the facilitating factors for chunk formation in visuomotor sequence learning.

  • Using cellular automata as heuristic of computer Go

    Based on the essential similarity of the cellular automata (CA) and the game of Go, this paper proposes a CA-based candidate move generator (GoCA) as well as the correlative knowledge represent method. A scheme for computer Go is also propounded. In which, GoCA perform the task of learning rules from expert game records, and then as a heuristic method, it combines with the minimax search to prune volume branches from the game tree. The experimental result shows the feasibility of anchoring our hope on it to improve the competitive ability of computer Go.

  • Development and evaluation of human thinking support tools

    Our efforts for developing and evaluating human thinking support tools are summarized. First, the organization and functions of the tools are described briefly, then three levels for evaluation are identified, and several methods in each level are explained. Results for applying the evaluation methods to the tools show the effectiveness of them.

  • How learning organisation influences staff members' service quality

    As a result of the changing medical environment in Taiwan, hospitals encounter increasing competitive pressure. In response to an increasingly competitive environment, hospitals are devoted to improving the quality of service received by the patients. This study explored how learning organisation influences staff members' service quality. A cross-sectional study was performed. The survey sample included three regional teaching hospitals in central Taiwan. A total of 280 questionnaires were distributed; 226 valid questionnaires were returned, resulting in a response rate of 80.71%. 1). The results show the impact of learning organisation on staff members' attitudes toward service quality. 2). When the organisations applied individual learning, it influenced the staff members' service quality with respect to tangibles, reliability, responsiveness, assurance and empathy. 3). When the organisations applied team learning, it influenced the staff members' service quality with respect to tangibles, responsiveness, assurance and empathy. 4). When organisations applied organisational-level learning, it influenced the staff members' service quality with respect to tangibles, reliability, responsiveness, assurance and empathy.

  • The "Algorithms Studio" project: using sketch-based visualization technology to construct and discuss visual representations of algorithms

    The "Algorithms Studio" project explores a novel, studio-based approach to teaching an undergraduate course on computer algorithms. Inspired by the design studio commonly used in architecture education, the approach emphasizes conceptual design activities in which students use sketch-based algorithm visualization technology to create their own visual representations of the algorithms under study. They then discuss their representations with their peers and instructor within the context of regularly scheduled critique sessions. A diverse program of planned empirical studies will investigate the value and role of visualization technology in learning algorithms at the cognitive, social, and cultural levels.

  • Automobility: the coming use of fully-automated on-road vehicles

    In a world that appears primarily to be motivated by a worship of the false idol of profit, there can be little doubt that the era of automated road vehicles is upon us. Indeed, such technologies have already begun to percolate into the bespoke vehicle domain and what becomes feasible in the special case is a prime candidate to penetrate into the more general circumstance. Within a period of mere decades, will it be the case that we will look back upon the manually controlled vehicle in the same manner that we now look upon the manually operated elevator, as a piquant anachronism or the particular domain of a specialized segment of the antiques trade? But, before we achieve even the first degree of true “automobility” we shall have to pass through a hybrid stage of development in which the role of the individual human driver will have to evolve substantively. During this phase of evolution, the population of vehicles on the road will be best described as `mixed equipage' (i.e., dynamically changing combinations of automated and manually controlled vehicles). Whether such differing capacity vehicles will be separated in either space (e.g., lanes devoted to automatic vehicles) or time (e.g., blocks of time when only manual vehicles are permitted on a specific roadway), is a question which must concern all who attend this important inception. If differing capacity vehicles are allowed to `mix,' a critical element of acceptance for example, will be how automated vehicles deal with drowsy, fatigued, or otherwise impaired drivers exercising traditional manual control. After exploring this specific strand of hybrid development and innovative forms of vehicle control from a human factors perspective, and briefly considering the parallel development of diverse robotic systems, I conclude my present discourse by asking the provocative question which may be expressed as follows. While we can develop such automated systems, should we in fact pursue this line of development? The latter questions are intimately bound up in the notions of safety, efficiency, choice, freedom, and our prospective overall social and individual quality of life. Whether these latter questions ever enter into the primary scientific and engineering discourse about the coming technological wave of automation I considered rather doubtful.

  • Capturing valuable undocumented knowledge: lessons learned at electric utility sites

    This paper provides some important lessons learned that a utility might consider as it goes about implementing a new, or expanding an existing, program to capture valuable undocumented knowledge from departing or other potentially unavailable workers. The lessons learned relate to (1) the process that a utility may follow to value, elicit, store, and retrieve valuable undocumented knowledge, and (2) specific methods and tools that may be used to elicit, store, and retrieve the knowledge.



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