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- Journal of Artificial Intelligence and Consciousness
also: International Journal of Machine Consciousness
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Publication search results
found 76 matches
- 2023
- Subhash C. Kak:
No-Go Theorems on Machine Consciousness. J. Artif. Intell. Conscious. 10(2): 237-247 (2023) - Rodrick Wallace:
On "Machine Consciousness". J. Artif. Intell. Conscious. 10(1): 125-148 (2023) - Ajit Narayanan, Wendy L. Magee, Richard J. Siegert:
Machine learning and network analysis for diagnosis and prediction in disorders of consciousness. BMC Medical Informatics Decis. Mak. 23(1): 41 (2023) - Nora El-Rashidy, Ahmed Sedik, Ali I. Siam, Zainab Hassan Ali:
An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. Neural Comput. Appl. 35(14): 10695-10716 (2023) - Ava Elizabeth Scott, Daniel Peter Neumann, Jasmin Niess, Pawel W. Wozniak:
Do You Mind? User Perceptions of Machine Consciousness. CHI 2023: 374:1-374:19 - Qikang Zhang:
Exploring the Creation and Humanization of Digital Life: Consciousness Simulation and Human-Machine Interaction. CoRR abs/2310.13710 (2023) - Rose Guingrich, Michael S. A. Graziano:
Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines. CoRR abs/2311.10599 (2023) - 2022
- Matthew J. Davis:
An Exploration of the Emergence of Machine Consciousness and the Risk of Robocentrism. J. Artif. Intell. Conscious. 9(3): 385-407 (2022) - Subhash C. Kak:
The Limits to Machine Consciousness. J. Artif. Intell. Conscious. 9(1): 59-72 (2022) - Angela Langdon, Matthew M. Botvinick, Hiroyuki Nakahara, Keiji Tanaka, Masayuki Matsumoto, Ryota Kanai:
Meta-learning, social cognition and consciousness in brains and machines. Neural Networks 145: 80-89 (2022) - Fang Wang, Yu-Chu Tian, Xueying Zhang, Fengyun Hu:
Detecting Disorders of Consciousness in Brain Injuries From EEG Connectivity Through Machine Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 113-123 (2022) - Artem A. Sukhobokov, Yuriy E. Gapanyuk, Anna S. Zenger, Alyona K. Tsvetkova:
The concept of an intelligent data lake management system: machine consciousness and a universal data model. BICA*AI 2022: 407-414 - Jared Edward Reser:
A Computational Architecture for Machine Consciousness and Artificial Superintelligence: Updating Working Memory Iteratively. CoRR abs/2203.17255 (2022) - 2021
- Stanislas Dehaene, Hakwan C. Lau, Sid Kouider:
What Is Consciousness, and Could Machines Have It? Robotics, AI, and Humanity 2021: 43-56 - Lenore Blum, Manuel Blum:
A Theory of Consciousness from a Theoretical Computer Science Perspective: Insights from the Conscious Turing Machine. CoRR abs/2107.13704 (2021) - 2020
- Xiashuang Wang, Guanghong Gong, Ni Li, Li Ding, Yaofei Ma:
Decoding pilot behavior consciousness of EEG, ECG, eye movements via an SVM machine learning model. Int. J. Model. Simul. Sci. Comput. 11(4): 2050028:1-2050028:19 (2020) - Ricardo Sanz, Esther Aguado:
Understanding and Machine Consciousness. J. Artif. Intell. Conscious. 7(2): 231-244 (2020) - Robin L. Zebrowski:
Fear of a Bot Planet: Anthropomorphism, Humanoid Embodiment, and Machine Consciousness. J. Artif. Intell. Conscious. 7(1): 119-132 (2020) - Eduardo C. Garrido-Merchán, Martin Molina:
A Machine Consciousness Architecture Based on Deep Learning and Gaussian Processes. HAIS 2020: 350-361 - Juyang Weng:
Machines Develop Consciousness Through Autonomous Programming for General Purposes (APFGP). HBAI@IJCAI 2020: 34-55 - Eduardo C. Garrido-Merchán, Martín Molina:
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes. CoRR abs/2002.00509 (2020) - 2019
- Pentti O. Haikonen:
Consciousness and Robot Sentience, Second Edition. Series on Machine Consciousness 4, WorldScientific 2019, ISBN 9789811205040, pp. 1-264 - Emily Muller, Jonathan P. Shock, Andreas Bender, Julian Kleeberger, Tobias Högen, Martin Rosenfelder, Bubacarr Bah, Alex Lopez-Rolon:
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness. Comput. Biol. Medicine 107: 145-152 (2019) - Ron Chrisley:
Grounded Metacognitive Architectures For Machine Consciousness. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - Johnathan Charles Flowers:
Reconsidering the "Artificial, " the "Intelligent, " and the "Conscious" in Artificial Intelligence and Machine Consciousness through American Pragmatism. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - David Gamez:
Four Preconditions for Solving MC4 Machine Consciousness. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - Henry Shevlin:
To Build Conscious Machines, Focus on General Intelligence: A Framework for the Assessment of Consciousness in Biological and Artificial Systems. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - Damien Patrick Williams:
Consciousness and Conscious Machines: What's At Stake? AAAI Spring Symposium: Towards Conscious AI Systems 2019 - Jirí Wiedermann, Jan van Leeuwen:
Finite State Machines with Feedback: An Architecture Supporting Minimal Machine Consciousness. CiE 2019: 286-297 - Erika Molteni, Katia Colombo, Elena Beretta, Susanna Galbiati, Liane Dos Santos Canas, Marc Modat, Sandra Strazzer:
Comparison of Multi-class Machine Learning Methods for the Identification of Factors Most Predictive of Prognosis in Neurobehavioral assessment of Pediatric Severe Disorder of Consciousness through LOCFAS scale. EMBC 2019: 269-272
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