Ikuti
Murray Shanahan
Murray Shanahan
Imperial College London / DeepMind
Email yang diverifikasi di imperial.ac.uk
Judul
Dikutip oleh
Dikutip oleh
Tahun
The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs
RL Carhart-Harris, R Leech, PJ Hellyer, M Shanahan, A Feilding, ...
Frontiers in human neuroscience 8, 20, 2014
13102014
Conditional neural processes
M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ...
International conference on machine learning, 1704-1713, 2018
7722018
Deep unsupervised clustering with gaussian mixture variational autoencoders
N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ...
arXiv preprint arXiv:1611.02648, 2016
6912016
The event calculus explained
M Shanahan
Artificial intelligence today: Recent trends and developments, 409-430, 2001
6742001
Solving the frame problem: a mathematical investigation of the common sense law of inertia
M Shanahan
MIT press, 1997
6121997
The Technological Singularity
M Shanahan
MIT Press, 2015
4852015
Prediction is Deduction but Explanation is Abduction.
M Shanahan
IJCAI 89, 1055-1060, 1989
3411989
A cognitive architecture that combines internal simulation with a global workspace
M Shanahan
Consciousness and cognition 15 (2), 433-449, 2006
3192006
Reconciling deep learning with symbolic artificial intelligence: representing objects and relations
M Garnelo, M Shanahan
Current Opinion in Behavioral Sciences 29, 17-23, 2019
2962019
Metastable chimera states in community-structured oscillator networks
M Shanahan
Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (1), 2010
2942010
Relational deep reinforcement learning
V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ...
arXiv preprint arXiv:1806.01830, 2018
2852018
Solving the frame problem
M Shanahan
MIT press, 1997
2781997
Talking about large language models
M Shanahan
Communications of the ACM 67 (2), 68-79, 2024
2702024
Selection-inference: Exploiting large language models for interpretable logical reasoning
A Creswell, M Shanahan, I Higgins
arXiv preprint arXiv:2205.09712, 2022
2682022
Towards deep symbolic reinforcement learning
M Garnelo, K Arulkumaran, M Shanahan
arXiv preprint arXiv:1609.05518, 2016
2672016
Large-Scale Network Organisation in the Avian Forebrain: A Connectivity Matrix and Theoretical Analysis
M Shanahan, VP Bingman, T Shimizu, M Wild, O Güntürkün
Frontiers in Computational Neuroscience 7, 89, 2013
2552013
The frame problem
M Shanahan
2492004
Embodiment and the inner life: cognition and consciousness in the space of possible minds
M Shanahan
Oxford University Press, 2010
2432010
Applying global workspace theory to the frame problem
M Shanahan, B Baars
Cognition 98 (2), 157-176, 2005
2412005
The control of global brain dynamics: opposing actions of frontoparietal control and default mode networks on attention
PJ Hellyer, M Shanahan, G Scott, RJS Wise, DJ Sharp, R Leech
Journal of Neuroscience 34 (2), 451-461, 2014
2402014
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