AI Bibliography

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Allen, C., Balavzevi'c, I., & Hospedales, T. (2020). A probabilistic framework for discriminative and neuro-symbolic semi-supervised learning. arXiv preprint arXiv:2006.05896.  
11/26/20, 3:01 AM
Attfield, S., & Baber, C. 2017, Elaborating the frames of data-frame theory. Paper presented at 13th International conference on Naturalistic Decision Making.  
6/18/23, 7:31 PM
Baker, S., & Xiang, W. (2023). Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities. IEEE Communications Surveys & Tutorials.  
7/11/23, 2:30 PM
Beaulieu, S., Frati, L., Miconi, T., Lehman, J., Stanley, K. O., & Clune, J., et al.. (2020). Learning to continually learn. arXiv preprint arXiv:2002.09571.  
11/8/21, 1:19 PM
Bhovad, P., & Li, S. (2021). Physical reservoir computing with origami and its application to robotic crawling. Scientific reports, 11(1), 1–18.  
11/1/21, 11:18 AM
Brown, N., & Sandholm, T. (2019). Superhuman ai for multiplayer poker. Science, 365(6456), 885–890.  
3/16/21, 8:12 AM
Cain, G. (2016). Artificial neural networks: New research. Nova Science Publishers, Incorporated.  
6/25/20, 4:28 PM
Chen, M., Li, W., Fortino, G., Hao, Y., Hu, L., & Humar, I. (2019). A dynamic service migration mechanism in edge cognitive computing. ACM Transactions on Internet Technology (TOIT), 19(2), 1–15.  
12/2/20, 12:33 PM
Conway, C. M., & Christiansen, M. H. (2005). Modality-constrained statistical learning of tactile, visual, and auditory sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(1), 24–39.  
6/2/21, 8:15 AM
Correia, L., Sebasti ao, A. M., & Santana, P. (2017). On the role of stigmergy in cognition. Progress in Artificial Intelligence, 6, 79–86.  
11/9/23, 3:02 PM
De Raedt, L., Dumanvci'c, S., Manhaeve, R., & Marra, G. (2020). From statistical relational to neuro-symbolic artificial intelligence. arXiv preprint arXiv:2003.08316.  
11/26/20, 2:41 AM
Dubey, R., & Griffiths, T. L. (2020). Understanding exploration in humans and machines by formalizing the function of curiosity. Current Opinion in Behavioral Sciences, 35, 118–124.  
1/3/23, 10:50 AM
Duffy, B. R., O’hare, G. M., Martin, A. N., Bradley, J. F., & Schoen, B. 2003, Agent chameleons: Moving minds. Paper presented at Proceedings of The IEEE Systems, Man & Cybernetics Workshop (UK & ROI Chapter).  
10/4/21, 1:53 PM
Fikes, R., & Garvey, T. (2020). Knowledge representation and reasoning--a history of darpa leadership. AI Magazine, 41(2).  
2/4/21, 10:49 AM
Fodor, J. A. (1983). The modularity of mind. MIT Press.  
7/19/23, 2:03 PM
Fornito, A., Zalesky, A., & Bullmore, E. (2016). Fundamentals of brain network analysis. Elsevier Science.  
6/25/20, 11:03 AM
Franklin, N. T., Norman, K. A., Ranganath, C., Zacks, J. M., & Gershman, S. J. (2020). Structured event memory: A neuro-symbolic model of event cognition. Psychological Review, 127(3), 327.  
11/26/20, 2:50 AM
Friston, K. J., Lin, M., Frith, C. D., Pezzulo, G., Hobson, J. A., & Ondobaka, S. (2017). Active inference, curiosity and insight. Neural computation, 29(10), 2633–2683.  
1/3/23, 10:41 AM
Galassi, A., Kersting, K., Lippi, M., Shao, X., & Torroni, P. (2020). Neural-symbolic argumentation mining: An argument in favor of deep learning and reasoning. Frontiers in big Data, 2, 52.  
9/19/22, 3:51 PM
Gardenfors, P. (2014). The geometry of meaning: Semantics based on conceptual spaces. MIT Press.  
10/6/20, 12:51 PM
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WIKINDX 6.7.0 | Total resources: 1621 | Username: -- | Bibliography: WIKINDX Master Bibliography | Style: American Psychological Association (APA)