IEEE Organizations related to Cognitive Systems

Back to Top

No organizations are currently tagged "Cognitive Systems"



Conferences related to Cognitive Systems

Back to Top

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


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)


More Conferences

Periodicals related to Cognitive Systems

Back to Top

No periodicals are currently tagged "Cognitive Systems"


Most published Xplore authors for Cognitive Systems

Back to Top

Xplore Articles related to Cognitive Systems

Back to Top

Cognitive and the future

2018 International Conference on Advance of Sustainable Engineering and its Application (ICASEA), 2018

The mental action or process of acquiring knowledge and understanding through thought, experience, and the senses . It is related to processes such as attention, the formation of knowledge, memory and working memory, judgment and evaluation, reasoning and computation, problem solving and decision making, comprehension and production of language. Cognitive processes use existing knowledge and generate new knowledge. The main ...


COCME: Content-Oriented Caching on the Mobile Edge for Wireless Communications

IEEE Wireless Communications, 2019

With the rapid development of mobile networks and mobile communications, various content can be conveniently accessed. Recently, some novel caching- based approaches have been proposed to enhance the QoE in wireless communications, but it is still challenging to develop advanced content delivery in wireless communications due to limitations of conventional D2D communications and caching strategies. To address these challenges, this ...


A Cognitive Machine Learning System for Phrases Composition and Semantic Comprehension

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018

Although lexical and syntactic theories for phrase analyses have been well studied in linguistic theories and computational linguistics, semantic synthesis theories for cognitive computing are still a challenge in machine learning and brain-inspired systems. This paper studies theories and mathematical models of machine knowledge learning and semantic comprehension. An Algorithm of Unsupervised Phrase Learning (AUPL) is developed that enables cognitive ...


BabeBay-A Companion Robot for Children Based on Multimodal Affective Computing

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

The BabeBay is a children companion robot which has the ability of real-time multimodal affective computing. Accurate and effective affective fusion computing makes BabeBay own adaptability and capability during interaction according to different children in different emotion. Furthermore, the corresponding cognitive computing and robots behavior can be enhanced to personalized companionship.


An OFDM Multi-User Spectrum Resource Allocation Algorithm Based on Joint Access Mechanism

2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS), 2018

Aiming at the problem of spectrum resource allocation of multi-cognitive users in CR-OFDM systems, this paper proposes a joint subcarrier and power allocation method based on access mechanism. In addition, the cognitive user's interference to the primary user communication is defined as the opportunity interference constraint. The algorithm first allocates subcarriers, takes into account the different communication needs of each ...


More Xplore Articles

Educational Resources on Cognitive Systems

Back to Top

IEEE.tv Videos

The Largest Cognitive Systems will be Optoelectronic: an ICRC 2018 Talk
Active Space-Body Perception and Body Enhancement using Dynamical Neural Systems
Computing Paradigms: The Largest Cognitive Systems Will Be Optoelectronic - Jeff Shainline - ICRC 2018
Classifying attention in Pivotal Response Treatment Videos - Corey Heath - LPIRC 2019
Intelligent Systems for Deep Space Exploration: Solutions and Challenges - Roberto Furfaro
ICASSP 2011 Trends in Machine Learning for Signal Processing
ICASSP 2010 - Advances in Neural Engineering
Special Evening Panel Discussion: AI, Cognitive Information Processing, and Rebooting Computing - IEEE Rebooting Computing 2017
Fuzzy Dynamic Programming: A Step Towards Cognitive Dynamic Programming
A Conversation About Mind/Brain Research and AI Development: IEEE TechEthics Interview
IEEE 125th Anniversary Media Event: Embracing Human Technology Interactions
IMS 2014: Broadband Continuous-mode Power Amplifiers
IEEE 125th Anniversary Media Event: Cognitive Computing
Robotics History: Narratives and Networks Oral Histories: Raja Chatila
Robotics History: Narratives and Networks Oral Histories: Barbara Hayes Roth
Self-Organization with Information Theoretic Learning
Mind/Brain Research and AI Development: How Do They Inform Each Other? - IEEE TechEthics Panel
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

IEEE-USA E-Books

  • Cognitive and the future

    The mental action or process of acquiring knowledge and understanding through thought, experience, and the senses . It is related to processes such as attention, the formation of knowledge, memory and working memory, judgment and evaluation, reasoning and computation, problem solving and decision making, comprehension and production of language. Cognitive processes use existing knowledge and generate new knowledge. The main topics considered in the Talk will be related to: 1. Future Parameters in Advance Technologies. 2. Main Features towards New Technologies. 3. The Internet of Things. 4. Modeling Cognitive Security.

  • COCME: Content-Oriented Caching on the Mobile Edge for Wireless Communications

    With the rapid development of mobile networks and mobile communications, various content can be conveniently accessed. Recently, some novel caching- based approaches have been proposed to enhance the QoE in wireless communications, but it is still challenging to develop advanced content delivery in wireless communications due to limitations of conventional D2D communications and caching strategies. To address these challenges, this article proposes content-oriented caching on the mobile edge for wireless communications. Specifically, it designs novel mobile edge caching based on popular content recommendations. Sufficient experiments demonstrate that the proposed approaches can effectively decrease the traffic load by using an acceptable volume of storage resources on mobile edges.

  • A Cognitive Machine Learning System for Phrases Composition and Semantic Comprehension

    Although lexical and syntactic theories for phrase analyses have been well studied in linguistic theories and computational linguistics, semantic synthesis theories for cognitive computing are still a challenge in machine learning and brain-inspired systems. This paper studies theories and mathematical models of machine knowledge learning and semantic comprehension. An Algorithm of Unsupervised Phrase Learning (AUPL) is developed that enables cognitive machines to autonomously learn phrase semantics in the sixth category of machine knowledge learning. A set of experimental results is reported to demonstrate the methodology and algorithm. This work plays a fundamental role for sentence learning where the semantics of natural languages is reduced onto those of phrases and terminal words represented by formal concepts in cognitive systems.

  • BabeBay-A Companion Robot for Children Based on Multimodal Affective Computing

    The BabeBay is a children companion robot which has the ability of real-time multimodal affective computing. Accurate and effective affective fusion computing makes BabeBay own adaptability and capability during interaction according to different children in different emotion. Furthermore, the corresponding cognitive computing and robots behavior can be enhanced to personalized companionship.

  • An OFDM Multi-User Spectrum Resource Allocation Algorithm Based on Joint Access Mechanism

    Aiming at the problem of spectrum resource allocation of multi-cognitive users in CR-OFDM systems, this paper proposes a joint subcarrier and power allocation method based on access mechanism. In addition, the cognitive user's interference to the primary user communication is defined as the opportunity interference constraint. The algorithm first allocates subcarriers, takes into account the different communication needs of each cognitive user in the allocation, and introduces an on-demand allocation scale factor to ensure the fairness of spectrum resource allocation. Then, when the subcarrier allocation is completed, add a power lower bound constraint to each subcarrier allocated by the cognitive user, through a ladder algorithm to complete the power allocation optimization of the subcarrier finally. Simulation results show that the proposed algorithm not only ensures the fairness of capacity allocation among cognitive users but also guarantees the communication quality of each user. In addition, the proposed algorithm is more suitable for practical application background due to the introduction of opportunities to interfere with constraints.

  • Cognitive technologies of business processes management in digital economy

    Processes of technological transformations allow moving to a qualitatively new level of technology business. This makes it possible to speak about occurrence of so-called cognitive era. In these circumstances, new management technologies and approaches are developing, in particular, the cognitive technologies in management. The paper describes the application of cognitive technologies in business processes management in digital economy.

  • DGCC: A Case for Integration of Brain Cognition and Intelligence Computation

    Both human brain and computer (electronic brain) could process data and do some cognition and computation tasks. Is the cognition of human brain equal to the computation of computer? It is obviously not. In this talk, the relationships of brain cognition models and intelligence computation models are summarized into four different types, that is, human brain cognition inspired intelligence computation (BCIIC), intelligence computation without human brain cognition (ICOBC), intelligence computation assisted human brain cognition (ICABC), and the integration of human brain cognition and intelligence computation (BC⁣). There are three paradigms in traditional artificial intelligence (AI) studies, that is, symbolism AI, connectionism AI, and behaviorism AI. The physical symbol system hypothesis is used in the symbolism AI. Human brain cognition is taken as a kind of symbolic processing, and the processes of human thinking are computed by symbol in the symbolism AI [1,2]. The connectionism AI relies on the bionics to simulate human brain. In the connectionism AI, neuron is taken as the basic unite of human thinking, and the intelligence is taken as the result of interconnected neurons competition and collaboration [3,4]. In the behaviorism AI, intelligence depends on the perception and behavior, “Perception-action” model is used, and intelligence may not require knowledge, knowledge representation and knowledge reasoning [5]. The symbolism AI and connectionism AI are two different types of human brain cognition inspired intelligence computation, while the behaviorism AI is a representative case of intelligence computation without human brain cognition. Usually, AI researchers get some inspiration from human brain cognition in their studies. On the other way, intelligence computation could also assist human brain cognition studies. The bidirectional cognitive computing model (BCC) is such a case. It studies the bidirectional transformations between the intension and extension of a concept. It is used to simulate some human brain cognition tasks such as learning and recognition [6,7]. Cognitive computing is one of the core fields of artificial intelligence [8,9]. Data-driven granular cognitive computing (DGCC) is an example of the integration of human brain cognition and intelligence computation [10,11]. It takes data as a special kind of knowledge expressed in the lowest granularity level of a multiple granularity space. It integrates two contradictory mechanisms, namely, the human's cognition mechanism of ``global precedence'' which is a cognition process of ``from coarser to finer'' and the information processing mechanism of machine learning systems which is ``from finer to coarser'', in a multiple granularity space. It is data-driven cognitive computing model. The integration of human brain cognition and intelligence computation would be an important research topic of artificial intelligence. Some scientific research issues of the integration of human brain cognition and intelligence computation are discussed based on DGCC.

  • Assessing the Usability of a Prototype Emergency Medicine Patient-Centered Electronic Health Record Display

    In light of issues arising from the transition from manual to electronic patient status boards in the emergency department, this study takes a cognitive systems engineering approach to designing a novel patient centered information display to improve information accessibility for nurses and physicians in emergency medicine. Following observations and focus groups with emergency medicine staff, a prototype was created and is currently undergoing formative usability testing to ensure cognitive support of physicians and nurses.

  • EFAA - A Companion Emerges From Integrating a Layered Cognitive Architecture

    In this video, we present the human robot interaction generated by applying the DAC cognitive architecture [1] on the iCub robot. We demonstrate how the robot reacts and adapts to its environment within the context a continuous interactive scenario including different games. We emphasize as well that the artificial agent is maintaining a self-model in terms of emotions and drives and how those are expressed in order affect the social interaction.

  • Requirements for a companion system to support identifying irrelevancy

    Though forgetting seems to be an everyday hassle, forgetting information not needed in the current context is helpful, even necessary. Such unneeded information is irrelevant to your current task at best, and at worst, deteriorates performance. For example, when writing a computer program in C#, you should temporarily forget your Java knowledge, since these programming languages are similar but not quite the same. Bjork, Bjork, and Anderson summarize this type of forgetting under the term goal-directed forgetting.



Standards related to Cognitive Systems

Back to Top

No standards are currently tagged "Cognitive Systems"


Jobs related to Cognitive Systems

Back to Top