Murray Shanahan

127 papers A* 20A 7B 11C 1Journal 70Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Brain-like Synergistic Core in LLMs Drives Behaviour and Learning. CoRR Pedro Urbina-Rodriguez, Zafeirios Fountas, Fernando E. Rosas, Jun Wang, Andrea I. Luppi, Haitham Bou-Ammar, Murray Shanahan, Pedro A. M. Mediano
2026	J	`jnl`	Linear representations in language models can change dramatically over a conversation. CoRR Andrew Kyle Lampinen, Yuxuan Li, Eghbal Hosseini, Sangnie Bhardwaj, Murray Shanahan
2025	J	`jnl`	Does It Make Sense to Speak of Introspection in Large Language Models? CoRR Iulia M. Comsa, Murray Shanahan
2025	A*	`conf`	Learning dynamics in linear recurrent neural networks. ICML Alexandra Maria Proca, Clémentine Carla Juliette Dominé, Murray Shanahan, Pedro A. M. Mediano
2025	J	`jnl`	Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models. CoRR Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R. McKee, Verena Rieser, Murray Shanahan, Laura Weidinger
2025	J	`jnl`	On the generalization of language models from in-context learning and finetuning: a controlled study. CoRR Andrew K. Lampinen, Arslan Chaudhry, Stephanie C. Y. Chan, Cody Wild, Diane Wan, Alex Ku, Jörg Bornschein, Razvan Pascanu, Murray Shanahan, James L. McClelland
2025	J	`jnl`	Palatable Conceptions of Disembodied Being: Terra Incognita in the Space of Possible Minds. CoRR Murray Shanahan
2025	J	`jnl`	Technological folie à deux: Feedback Loops Between AI Chatbots and Mental Illness. CoRR Sebastian Dohnány, Zeb Kurth-Nelson, Eleanor Spens, Lennart Luettgau, Alastair Reid, Iason Gabriel, Christopher Summerfield, Murray Shanahan, Matthew M. Nour
2025	J	`jnl`	The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text? CoRR Murray Shanahan, Tara Das, Robert E. Thurman
2024	J	`jnl`	A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI. CoRR Seliem El-Sayed, Canfer Akbulut, Amanda McCroskery, Geoff Keeling, Zachary Kenton, Zaria Jalan, Nahema Marchal, Arianna Manzini, Toby Shevlane, Shannon Vallor, Daniel Susser, Matija Franklin, Sophie Bridgers, Harry Law, Matthew Rahtz, Murray Shanahan, Michael Henry Tessler, Arthur Douillard, Tom Everitt, Sasha Brown
2024	J	`jnl`	Existential Conversations with Large Language Models: Content, Community, and Culture. CoRR Murray Shanahan, Beth Singler
2024	J	`jnl`	Simulacra as Conscious Exotica. CoRR Murray Shanahan
2024	J	`jnl`	Still "Talking About Large Language Models": Some Clarifications. CoRR Murray Shanahan
2024	J	`jnl`	Talking about Large Language Models. Commun. ACM Murray Shanahan
2024	J	`jnl`	The Ethics of Advanced AI Assistants. CoRR Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika
2024	A	`conf`	The Propensity for Density in Feed-Forward Models. ECAI Nandi Schoots, Alex Jackson, Ali Kholmovia, Peter McBurney, Murray Shanahan
2024	J	`jnl`	The Propensity for Density in Feed-forward Models. CoRR Nandi Schoots, Alex Jackson, Ali Kholmovaia, Peter McBurney, Murray Shanahan
2024	J	`jnl`	The broader spectrum of in-context learning. CoRR Andrew Kyle Lampinen, Stephanie C. Y. Chan, Aaditya K. Singh, Murray Shanahan
2024	J	`jnl`	Transformers Use Causal World Models in Maze-Solving Tasks. CoRR Alex F. Spies, William Edwards, Michael I. Ivanitskiy, Adrians Skapars, Tilman Räuker, Katsumi Inoue, Alessandra Russo, Murray Shanahan
2023	J	`jnl`	Evaluating Large Language Model Creativity from a Literary Perspective. CoRR Murray Shanahan, Catherine Clarke
2023	J	`jnl`	Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. Trans. Mach. Learn. Res. Wilka Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
2023	J	`jnl`	Improving Activation Steering in Language Models with Mean-Centring. CoRR Ole Jorgensen, Dylan Cope, Nandi Schoots, Murray Shanahan
2023	J	`jnl`	Role play with large language models. Nat. Murray Shanahan, Kyle McDonell, Laria Reynolds
2023	J	`jnl`	Role-Play with Large Language Models. CoRR Murray Shanahan, Kyle McDonell, Laria Reynolds
2023	A*	`conf`	Schema-learning and rebinding as mechanisms of in-context learning and emergence. NeurIPS Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
2023	J	`jnl`	Schema-learning and rebinding as mechanisms of in-context learning and emergence. CoRR Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
2023	A*	`conf`	Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning. ICLR Antonia Creswell, Murray Shanahan, Irina Higgins
2022	J	`jnl`	A Predictive Processing Model of Episodic Memory and Time Perception. Neural Comput. Zafeirios Fountas, Anastasia Sylaidi, Kyriacos Nikiforou, Anil K. Seth, Murray Shanahan, Warrick Roseboom
2022	A*	`conf`	Abstraction for Deep Reinforcement Learning. IJCAI Murray Shanahan, Melanie Mitchell
2022	J	`jnl`	Abstraction for Deep Reinforcement Learning. CoRR Murray Shanahan, Melanie Mitchell
2022	J	`jnl`	Faithful Reasoning Using Large Language Models. CoRR Antonia Creswell, Murray Shanahan
2022	A*	`conf`	In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications. ICLR Borja G. León, Murray Shanahan, Francesco Belardinelli
2022	J	`jnl`	Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning. CoRR Antonia Creswell, Murray Shanahan, Irina Higgins
2022	J	`jnl`	Sparse Relational Reasoning with Object-Centric Representations. CoRR Alex F. Spies, Alessandra Russo, Murray Shanahan
2022	J	`jnl`	Talking About Large Language Models. CoRR Murray Shanahan
2021	J	`jnl`	Encoders and Ensembles for Task-Free Continual Learning. CoRR Murray Shanahan, Christos Kaplanis, Jovana Mitrovic
2021	J	`jnl`	Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. CoRR Wilka Carvalho, Andrew K. Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
2021	J	`jnl`	In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications. CoRR Borja G. León, Murray Shanahan, Francesco Belardinelli
2021	A*	`conf`	Unsupervised Object-Based Transition Models For 3D Partially Observable Environments. NeurIPS Antonia Creswell, Rishabh Kabra, Christopher P. Burgess, Murray Shanahan
2021	J	`jnl`	Unsupervised Object-Based Transition Models for 3D Partially Observable Environments. CoRR Antonia Creswell, Rishabh Kabra, Chris Burgess, Murray Shanahan
2020	J	`jnl`	AlignNet: Unsupervised Entity Alignment. CoRR Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan
2020	A*	`conf`	An Explicitly Relational Neural Network Architecture. ICML Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo
2020	J	`jnl`	Continual Reinforcement Learning with Multi-Timescale Replay. CoRR Christos Kaplanis, Claudia Clopath, Murray Shanahan
2020	J	`jnl`	Learning Diverse Representations for Fast Adaptation to Distribution Shift. CoRR Daniel Pace, Alessandra Russo, Murray Shanahan
2020	A*	`conf`	Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. ICML Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio
2020	J	`jnl`	Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. CoRR Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio
2020	J	`jnl`	Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning. CoRR Borja G. León, Murray Shanahan, Francesco Belardinelli
2019	J	`jnl`	An Explicitly Relational Neural Network Architecture. CoRR Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo
2019	—	`conf`	Deep reinforcement learning with relational inductive biases. ICLR (Poster) Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia
2019	J	`jnl`	Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan
2019	A*	`conf`	Policy Consolidation for Continual Reinforcement Learning. ICML Christos Kaplanis, Murray Shanahan, Claudia Clopath
2019	J	`jnl`	Policy Consolidation for Continual Reinforcement Learning. CoRR Christos Kaplanis, Murray Shanahan, Claudia Clopath
2019	J	`jnl`	The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition. CoRR Benjamin Beyret, José Hernández-Orallo, Lucy Cheke, Marta Halina, Murray Shanahan, Matthew Crosby
2019	—	`conf`	The Animal-AI Testbed and Competition. NeurIPS (Competition and Demos) Matthew Crosby, Benjamin Beyret, Murray Shanahan, José Hernández-Orallo, Lucy Cheke, Marta Halina
2018	A*	`conf`	Conditional Neural Processes. ICML Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami
2018	J	`jnl`	Conditional Neural Processes. CoRR Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami
2018	J	`jnl`	Consistent Generative Query Networks. CoRR Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan
2018	A*	`conf`	Continual Reinforcement Learning with Complex Synapses. ICML Christos Kaplanis, Murray Shanahan, Claudia Clopath
2018	J	`jnl`	Continual Reinforcement Learning with Complex Synapses. CoRR Christos Kaplanis, Murray Shanahan, Claudia Clopath
2018	—	`conf`	Deep Reinforcement Learning with Risk-Seeking Exploration. SAB Nat Dilokthanakul, Murray Shanahan
2018	J	`jnl`	Relational Deep Reinforcement Learning. CoRR Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia
2018	—	`conf`	SCAN: Learning Hierarchical Compositional Visual Concepts. ICLR (Poster) Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P. Burgess, Matko Bosnjak, Murray Shanahan, Matthew M. Botvinick, Demis Hassabis, Alexander Lerchner
2017	J	`jnl`	An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons. Cogn. Comput. Kyriacos Nikiforou, Pedro A. M. Mediano, Murray Shanahan
2017	J	`jnl`	Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. CoRR Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan
2017	J	`jnl`	The Partial Information Decomposition of Generative Neural Network Models. Entropy Tycho M. S. Tax, Pedro A. M. Mediano, Murray Shanahan
2016	B	`conf`	A reservoir computing model of episodic memory. IJCNN David Bhowmik, Kyriacos Nikiforou, Murray Shanahan, Michail Maniadakis, Panos E. Trahanias
2016	J	`jnl`	Classifying Options for Deep Reinforcement Learning. CoRR Kai Arulkumaran, Nat Dilokthanakul, Murray Shanahan, Anil Anthony Bharath
2016	J	`jnl`	Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. CoRR Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan
2016	J	`jnl`	Towards Deep Symbolic Reinforcement Learning. CoRR Marta Garnelo, Kai Arulkumaran, Murray Shanahan
2015	J	`jnl`	Ascribing Consciousness to Artificial Intelligence. CoRR Murray Shanahan
2015	J	`jnl`	Effects of lesions on synchrony and metastability in cortical networks. NeuroImage Frantisek Vása, Murray Shanahan, Peter J. Hellyer, Gregory P. T. Scott, Joana Cabral, Robert Leech
2015	B	`conf`	GPU-based fast parameter optimization for phenomenological spiking neural models. IJCNN Zafeirios Fountas, Murray Shanahan
2015	B	`conf`	Local and global criticality within oscillating networks of spiking neurons. IJCNN Filipe Peliz Pinto Teixeira, Murray Shanahan
2014	B	`conf`	Does plasticity promote criticality? IJCNN Filipe Peliz Pinto Teixeira, Murray Shanahan
2014	B	`conf`	Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia. IJCNN Zafeirios Fountas, Murray Shanahan
2013	—	`conf`	A Cognitive Neural Architecture as a Robot Controller. Living Machines Zafeirios Fountas, Murray Shanahan
2013	J	`jnl`	Large-scale network organization in the avian forebrain: a connectivity matrix and theoretical analysis. Frontiers Comput. Neurosci. Murray Shanahan, Verner P. Bingman, Toru Shimizu, Martin Wild, Onur Güntürkün
2013	B	`conf`	STDP produces robust oscillatory architectures that exhibit precise collective synchronization. IJCNN David Bhowmik, Murray Shanahan
2013	J	`jnl`	Three Tools for the Real-Time Simulation of Embodied Spiking Neural Networks Using GPUs. Neuroinformatics Andreas Fidjeland, David Gamez, Murray Shanahan, Edgars Lazdins
2012	B	`conf`	Hierarchical clustering identifies hub nodes in a model of resting-state brain activity. IJCNN Mark Wildie, Murray Shanahan
2012	B	`conf`	How well do oscillator models capture the behaviour of biological neurons? IJCNN David Bhowmik, Murray Shanahan
2011	J	`jnl`	Establishing communication between neuronal populations through competitive entrainment. Frontiers Comput. Neurosci. Mark Wildie, Murray Shanahan
2011	—	`conf`	Serial from Parallel, Unity from Multiplicity: What Emerges from Global Workspace Architecture. BICA Murray Shanahan
2010	J	`jnl`	A computational model of a global neuronal workspace with stochastic connections. Neural Networks Dustin Connor, Murray Shanahan
2010	B	`conf`	Accelerated simulation of spiking neural networks using GPUs. IJCNN Andreas Fidjeland, Murray Shanahan
2010	B	`conf`	Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity. IJCNN Alexandros Bouganis, Murray Shanahan
2009	—	`conf`	NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs. ASAP Andreas Fidjeland, Etienne B. Roesch, Murray Shanahan, Wayne Luk
2008	B	`conf`	Flexible object recognition in cluttered scenes using relative point distribution models. ICPR Alexandros Bouganis, Murray Shanahan
2008	C	`conf`	Modeling the Neural Basis of Cognitive Integration and Consciousness. ALIFE Murray Shanahan, Dustin Connor
2008	—	`conf`	Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace. ICVW Andreas Fidjeland, Murray Shanahan, Alexandros Bouganis
2007	—	`conf`	A Simulated Global Neuronal Workspace with Stochastic Wiring. AAAI Fall Symposium: AI and Consciousness Dustin Connor, Murray Shanahan
2007	J	`jnl`	A Vision-Based Intelligent System for Packing 2-D Irregular Shapes. IEEE Trans Autom. Sci. Eng. Alexandros Bouganis, Murray Shanahan
2007	J	`jnl`	A fast evaluation criterion for the recognition of occluded shapes. Robotics Auton. Syst. Secil Ozen, Alexandros Bouganis, Murray Shanahan
2006	A	`conf`	Leaf Classification Using Navigation-Based Skeletons. ECAI Georgios Sakellariou, Murray Shanahan
2006	A	`conf`	On Packing 2D Irregular Shapes. ECAI Alexandros Bouganis, Murray Shanahan
2005	J	`jnl`	Perception as Abduction: Turning Sensor Data Into Meaningful Representation. Cogn. Sci. Murray Shanahan
2004	A*	`conf`	A Logic-Based Formulation of Active Visual Perception. KR Murray Shanahan, David A. Randell
2004	J	`jnl`	An attempt to formalise a non-trivial benchmark problem in common sense reasoning. Artif. Intell. Murray Shanahan
2004	J	`jnl`	Event Calculus Planning Through Satisfiability. J. Log. Comput. Murray Shanahan, Mark Witkowski
2004	A	`conf`	Indirect and Conditional Sensing in the Event Calculus. ECAI Jeremy Forth, Murray Shanahan
2003	A*	`conf`	A Logic-based Algorithm for Image Sequence Interpretation and Anchoring. IJCAI Paulo E. Santos, Murray Shanahan
2002	A*	`conf`	A Logical Account of Perception Incorporating Feedback and Expectation. KR Murray Shanahan
2002	A	`conf`	Hypothesising Object Relations from Image Transitions. ECAI Paulo E. Santos, Murray Shanahan
2002	—	`conf`	Some Alternative Formulations of the Event Calculus. Computational Logic: Logic Programming and Beyond Rob Miller, Murray Shanahan
2001	A*	`conf`	From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax. IJCAI David A. Randell, Mark Witkowski, Murray Shanahan
2000	J	`jnl`	An abductive event calculus planner. J. Log. Program. Murray Shanahan
2000	—	`conf`	High-Level Robot Control through Logic. ATAL Murray Shanahan, Mark Witkowski
2000	J	`jnl`	Review: M. Shanahan, Solving the Frame Problem. Artif. Intell. Murray Shanahan
1999	—	`conf`	Robot Navigation and Map Building with the Event Calculus (abstract). ESCQARU Murray Shanahan, Mark Witkowski
1999	—	`ch.`	The Event Calculus Explained. Artificial Intelligence Today Murray Shanahan
1999	J	`jnl`	The Event Calculus in Classical Logic - Alternative Axiomatisations. Electron. Trans. Artif. Intell. Rob Miller, Murray Shanahan
1999	A*	`conf`	The Ramification Problem in the Event Calculus. IJCAI Murray Shanahan
1998	J	`jnl`	A Logical Account of the Common Sense Informatic Situation for a Mobile Robot. Electron. Trans. Artif. Intell. Murray Shanahan
1997	—	`conf`	Event Calculus Planning Revisited. ECP Murray Shanahan
1997	—	`conf`	Noise, Non-Determinism and Spatial Uncertainty. AAAI/IAAI Murray Shanahan
1997	—	`book`	Solving the frame problem - a mathematical investigation of the common sense law of inertia. Murray Shanahan
1996	—	`conf`	Noise and the Common Sense Informatic Situation for a Mobile Robot. AAAI/IAAI, Vol. 2 Murray Shanahan
1996	A*	`conf`	Reasoning about Discontinuities in the Event Calculus. KR Rob Miller, Murray Shanahan
1996	A	`conf`	Robotics and the Common Sense Informatic Situation. ECAI Murray Shanahan
1995	J	`jnl`	A Circumscriptive Calculus of Events. Artif. Intell. Murray Shanahan
1995	J	`jnl`	Default Reasoning about Spatial Occupancy. Artif. Intell. Murray Shanahan
1994	J	`jnl`	Narratives in the Situation Calculus. J. Log. Comput. Rob Miller, Murray Shanahan
1993	A*	`conf`	Explanation in the Situation Calculus. IJCAI Murray Shanahan
1990	A	`conf`	Representing Continuous Change in the Event Calculus. ECAI Murray Shanahan
1989	A*	`conf`	Prediction is Deduction but Explanation is Abduction. IJCAI Murray Shanahan
1989	—	`book`	Search, inference and dependencies in artificial intelligence. Murray Shanahan, Richard Southwick
1987	A*	`conf`	An Incremental Theorem Prover. IJCAI Murray Shanahan