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 International Professional Communication Conference (ProComm)

The scope of the conference includes the study, development, improvement, and promotion ofeffective techniques for preparing, organizing, processing, editing, collecting, conserving,teaching, and disseminating any form of technical information by and to individuals and groupsby any method of communication. It also includes technical, scientific, industrial, and otheractivities that contribute to the techniques and products used in this field.


2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

robotics, intelligent systems, automation, mechatronics, micro/nano technologies, AI,


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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

[{u'author_order': 1, u'full_name': u'M. Gavrancic'}] 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

[{u'author_order': 1, u'affiliation': u'Kat Holmes Design', u'full_name': u'Kat Holmes'}, {u'author_order': 2, u'affiliation': u'Automattic, Inc.', u'full_name': u'John Maeda'}, {u'author_order': 3, u'affiliation': u'Automattic, Inc.', u'full_name': u'John Maeda'}] 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

[{u'author_order': 1, u'affiliation': u'Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, 500046 India; Department of Physiology, Development and Neuroscience, Downing Site, Cambridge, CB2 3DY UK. phone: +44-1223-339544; fax: +44-1223-333786; e-mail: kpm23@cam.ac.uk', u'authorUrl': u'https://ieeexplore.ieee.org/author/37080754600', u'full_name': u'K.P. Miyapuram', u'id': 37080754600}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37297351000', u'full_name': u'R.S. Bapi', u'id': 37297351000}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37845890500', u'full_name': u'C.V.S. Pammi', u'id': 37845890500}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37845891200', u'full_name': u'Ahmed', u'id': 37845891200}, {u'author_order': 5, u'authorUrl': u'https://ieeexplore.ieee.org/author/37269021100', u'full_name': u'K. Doya', u'id': 37269021100}] 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

[{u'author_order': 1, u'affiliation': u'Comput. Sci. Sch., Beijing Polytech. Univ., China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37067229300', u'full_name': u'Dao-Xiong Gong', u'id': 37067229300}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37272848900', u'full_name': u'Xiao-Gang Ruan', u'id': 37272848900}] 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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eLearning

No eLearning Articles are currently tagged "Cognitive science"

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
TryEngineering Careers with Impact: Mataric
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
Computing Paradigms: The Largest Cognitive Systems Will Be Optoelectronic - Jeff Shainline - ICRC 2018
Toward Cognitive Integration of Prosthetic Devices - IEEE WCCI 2014
Gender-Based Occupational Stereotypes: New Behaviors, Old Attitudes - Carolyn Matheus & Elizabeth Quinn - IEEE WIE Forum USA East 2017
Robotics History: Narratives and Networks Oral Histories: Rolf Pfiefer
A Historical Perspective on Computational Intelligence in N-player Games - IEEE WCCI 2014
Robotics History: Narratives and Networks Oral Histories: Sara Kiesler

IEEE-USA E-Books

  • 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:

  • IV Learning and Reasoning

    So far, we have explored the panoply of qualitative representations and how they can be used in reasoning and communication in a wide variety of tasks, providing evidence for their utility and for their psychological plausibility. We have already seen some examples of how such representations tie into other forms of conceptual structure, as in the discussion of how qualitative representations play a role in natural-language semantics in chapter 13 and the discussion of how qualitative representations play a role in high-level vision in chapters 14 and 16. Here we go further in explicating the roles for qualitative representations in human conceptual structure by looking three important topics:

  • Preface

    How we reason about the continuous world around us is one of the central mysteries of cognitive science. This book is based on multiple decades of research in artificial intelligence (AI) on qualitative reasoning by my group but also by many others. Most of the qualitative reasoning literature assumes a strong artificial intelligence background, which is a shame because I believe it is extremely relevant across cognitive science. This book is my attempt to bridge that gap, to make accessible the insights and ideas that qualitative reasoning research has come up with to a broad audience of cognitive scientists. I hope it will also help AI scientists and engineers better understand the connection between AI and the other branches of cognitive science, because gaining insights across disciplines is why cognitive science exists in the first place.

  • 2 Representation: An Overview

    Knowledge representation is a deep topic, but there are only a few essentials you need to know to follow the arguments made in this book.

  • Develop Your Message

    Messages help focus all communication participants on the most important information and how to convey it. In a crisis, key messages are especially important for media spokespeople and those who staff phone hotlines. Message development in risk communication is not the same as developing a catchy slogan in an advertising campaign. Message development is not manipulative, nor is it a substitute for audience analysis or public participation. The point is to understand what they want and need to know and addressing those things in a clear, concise way. As public health researchers in the United Kingdom found, the idea is to state the risk information in a way that supports continued sharing on all sides. This chapter discusses some common pitfalls in developing messages, what people want to know about risks, and how to craft messages for various risk situations.

  • 12 Analogy in Dynamics

    There is a growing body of evidence that people use analogy throughout human cognition (Gentner, 2010). Thus, it would be surprising if people did not use it for qualitative reasoning. This chapter explores the idea of runnable mental models, trade-offs between first principles and analogical reasoning, and a similarity-based model of qualitative simulation. Analogy, I argue, provides a psychologically plausible processing account of mental simulation and qualitative reasoning.

  • Visual Representations of Risks

    This chapter presents research‐based guidelines for representing risk‐related information visually, such as in photos, pictures, illustrations, graphs, charts, tables, warning labels, and other forms. It describes how to design visuals for specific audiences and information materials, portray various aspects of a risk, pretest and personalize visuals, depict probability and uncertainty, use action levels, avoid unethical risk portrayal, and use visuals in group decision‐making. More than 20 real‐life visuals are presented and critiqued.

  • Clarify Topics with Full-Sentence Headers

    This chapter advocates the use of full-sentence headers instead of fragmented headers. The authors challenge the traditional language pattern of slides, offering instead a way to create a more efficient, complete, and thorough framing of technical ideas. A speaker should write full, complete, and concise sentence headers. While there are many good reasons to use sentence headers, the practice will meet with resistance. The chapter addresses those concerns and issues. A presenter must apply stronger methodology and best practices for all mission-critical presentations. Sentence headers prime the audience to receive specific kinds of information. In the most simple of instances, sentence header should be used to introduce an idea, fact, or concept. Professionals in technical fields use claims to advance an idea, usually to some specific purpose. Headers can help audience interpret complex information. Sentence headers can reveal a fuller perspective instead of just identifying discrete data points.

  • Apply Cognitive Science and Tell a Story

    Cognitive science is making strides each day, and some of that work can inform how we reinvent slide design. Despite the overwhelming evidence from cognitive science, and despite wretched experiences as audience members, we still find speakers loathe to lose their bullets. At whatever stage one finds himself in the process of implementing change in his presentations, he needs to continue the analysis of his audience to make the process of improving communication practices easier. Knowing our audiences, the contexts for the presentation, and the messages we need to communicate is the best way to ensure that we do not burden audiences with high intrinsic or extraneous loads. Speakers should try to craft a coherent, cohesive visual story that will engage the audience's thinking and problem-solving abilities. Stories can be organized in many ways, and several short ideas have been included in this chapter for the readers to experiment with.

  • Approaches to Communicating Risk

    This chapter presents an overview of 14 of the most common approaches to risk communication as well as implications for those who are communicating risk and how the approach might be used in various situations. The discussion includes the communication process approach, national research council's approach, mental models approach, crisis communication approach, convergence communication approach, three&hyphen;challenge approach, social constructionist approach, and hazard plus outrage approach. No one approach to risk communication can be applied equally well to all the purposes, audiences, and situations for which risk is being communicated. Instead approaches to risk communication come from a variety of disciplines, each of which can provide insight to those who are communicating the risk. Understanding the various approaches and their implications can provide us with a repertoire of ways to develop our risk communication efforts, giving us a greater chance of success than if we were communicating without this knowledge.


Standards related to Cognitive science

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No standards are currently tagged "Cognitive science"