Murray Shanahan

According to our database, Murray Shanahan authored at least 96 papers between 1987 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Talking about Large Language Models.

Murray Shanahan

Commun. ACM, February, 2024

Simulacra as Conscious Exotica.

Murray Shanahan

CoRR, 2024

2023

Role play with large language models.

Murray Shanahan, Kyle McDonell, Laria Reynolds

Nat., 2023

Improving Activation Steering in Language Models with Mean-Centring.

Ole Jørgensen, Dylan Cope, Nandi Schoots, Murray Shanahan

CoRR, 2023

Evaluating Large Language Model Creativity from a Literary Perspective.

Murray Shanahan, Catherine Clarke

CoRR, 2023

Schema-learning and rebinding as mechanisms of in-context learning and emergence.

Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning.

Antonia Creswell, Murray Shanahan, Irina Higgins

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Predictive Processing Model of Episodic Memory and Time Perception.

Zafeirios Fountas, Anastasia Sylaidi, Kyriacos Nikiforou, Anil K. Seth, Murray Shanahan, Warrick Roseboom

Neural Comput., 2022

Faithful Reasoning Using Large Language Models.

Antonia Creswell, Murray Shanahan

CoRR, 2022

Sparse Relational Reasoning with Object-Centric Representations.

Alex F. Spies, Alessandra Russo, Murray Shanahan

CoRR, 2022

Abstraction for Deep Reinforcement Learning.

Murray Shanahan, Melanie Mitchell

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications.

Borja G. León, Murray Shanahan, Francesco Belardinelli

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning.

Wilka Carvalho, Andrew K. Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan

CoRR, 2021

Encoders and Ensembles for Task-Free Continual Learning.

Murray Shanahan, Christos Kaplanis, Jovana Mitrovic

CoRR, 2021

Unsupervised Object-Based Transition Models For 3D Partially Observable Environments.

Antonia Creswell, Rishabh Kabra, Christopher P. Burgess, Murray Shanahan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

AlignNet: Unsupervised Entity Alignment.

Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan

CoRR, 2020

Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning.

Borja G. León, Murray Shanahan, Francesco Belardinelli

CoRR, 2020

Learning Diverse Representations for Fast Adaptation to Distribution Shift.

Daniel Pace, Alessandra Russo, Murray Shanahan

CoRR, 2020

Continual Reinforcement Learning with Multi-Timescale Replay.

Christos Kaplanis, Claudia Clopath, Murray Shanahan

CoRR, 2020

An Explicitly Relational Neural Network Architecture.

Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.

Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning.

Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan

IEEE Trans. Neural Networks Learn. Syst., 2019

The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition.

Benjamin Beyret, José Hernández-Orallo, Lucy Cheke, Marta Halina, Murray Shanahan, Matthew Crosby

CoRR, 2019

The Animal-AI Testbed and Competition.

Matthew Crosby, Benjamin Beyret, Murray Shanahan, José Hernández-Orallo, Lucy Cheke, Marta Halina

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Policy Consolidation for Continual Reinforcement Learning.

Christos Kaplanis, Murray Shanahan, Claudia Clopath

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep reinforcement learning with relational inductive biases.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Consistent Generative Query Networks.

Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan

CoRR, 2018

Relational Deep Reinforcement Learning.

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

CoRR, 2018

Deep Reinforcement Learning with Risk-Seeking Exploration.

Nat Dilokthanakul, Murray Shanahan

Proceedings of the From Animals to Animats 15, 2018

Continual Reinforcement Learning with Complex Synapses.

Christos Kaplanis, Murray Shanahan, Claudia Clopath

Proceedings of the 35th International Conference on Machine Learning, 2018

Conditional Neural Processes.

Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami

Proceedings of the 35th International Conference on Machine Learning, 2018

SCAN: Learning Hierarchical Compositional Visual Concepts.

Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P. Burgess, Matko Bosnjak, Murray Shanahan, Matthew M. Botvinick, Demis Hassabis, Alexander Lerchner

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

The Partial Information Decomposition of Generative Neural Network Models.

Tycho M. S. Tax, Pedro A. M. Mediano, Murray Shanahan

Entropy, 2017

An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons.

Kyriacos Nikiforou, Pedro A. M. Mediano, Murray Shanahan

Cogn. Comput., 2017

2016

Towards Deep Symbolic Reinforcement Learning.

Marta Garnelo, Kai Arulkumaran, Murray Shanahan

CoRR, 2016

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.

Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan

CoRR, 2016

Classifying Options for Deep Reinforcement Learning.

Kai Arulkumaran, Nat Dilokthanakul, Murray Shanahan, Anil Anthony Bharath

CoRR, 2016

A reservoir computing model of episodic memory.

David Bhowmik, Kyriacos Nikiforou, Murray Shanahan, Michail Maniadakis, Panos E. Trahanias

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Effects of lesions on synchrony and metastability in cortical networks.

Frantisek Vása, Murray Shanahan, Peter J. Hellyer, Gregory P. T. Scott, Joana Cabral, Robert Leech

NeuroImage, 2015

Ascribing Consciousness to Artificial Intelligence.

Murray Shanahan

CoRR, 2015

Local and global criticality within oscillating networks of spiking neurons.

Filipe Peliz Pinto Teixeira, Murray Shanahan

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

GPU-based fast parameter optimization for phenomenological spiking neural models.

Zafeirios Fountas, Murray Shanahan

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Does plasticity promote criticality?

Filipe Peliz Pinto Teixeira, Murray Shanahan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia.

Zafeirios Fountas, Murray Shanahan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Three Tools for the Real-Time Simulation of Embodied Spiking Neural Networks Using GPUs.

Andreas Fidjeland, David Gamez, Murray Shanahan, Edgars Lazdins

Neuroinformatics, 2013

Large-scale network organization in the avian forebrain: a connectivity matrix and theoretical analysis.

Murray Shanahan, Verner P. Bingman, Toru Shimizu, Martin Wild, Onur Güntürkün

Frontiers Comput. Neurosci., 2013

A Cognitive Neural Architecture as a Robot Controller.

Zafeirios Fountas, Murray Shanahan

Proceedings of the Biomimetic and Biohybrid Systems, 2013

STDP produces robust oscillatory architectures that exhibit precise collective synchronization.

David Bhowmik, Murray Shanahan

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Hierarchical clustering identifies hub nodes in a model of resting-state brain activity.

Mark Wildie, Murray Shanahan

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

How well do oscillator models capture the behaviour of biological neurons?

David Bhowmik, Murray Shanahan

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Establishing communication between neuronal populations through competitive entrainment.

Mark Wildie, Murray Shanahan

Frontiers Comput. Neurosci., 2011

Serial from Parallel, Unity from Multiplicity: What Emerges from Global Workspace Architecture.

Murray Shanahan

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2010

A computational model of a global neuronal workspace with stochastic connections.

Dustin Connor, Murray Shanahan

Neural Networks, 2010

Accelerated simulation of spiking neural networks using GPUs.

Andreas Fidjeland, Murray Shanahan

Proceedings of the International Joint Conference on Neural Networks, 2010

Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity.

Alexandros Bouganis, Murray Shanahan

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs.

Andreas Fidjeland, Etienne B. Roesch, Murray Shanahan, Wayne Luk

Proceedings of the 20th IEEE International Conference on Application-Specific Systems, 2009

2008

Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace.

Andreas Fidjeland, Murray Shanahan, Alexandros Bouganis

Proceedings of the Cognitive Vision, 4th International Workshop, 2008

Flexible object recognition in cluttered scenes using relative point distribution models.

Alexandros Bouganis, Murray Shanahan

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Modeling the Neural Basis of Cognitive Integration and Consciousness.

Murray Shanahan, Dustin Connor

Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007

A Vision-Based Intelligent System for Packing 2-D Irregular Shapes.

Alexandros Bouganis, Murray Shanahan

IEEE Trans Autom. Sci. Eng., 2007

A fast evaluation criterion for the recognition of occluded shapes.

Secil Ozen, Alexandros Bouganis, Murray Shanahan

Robotics Auton. Syst., 2007

A Simulated Global Neuronal Workspace with Stochastic Wiring.

Dustin Connor, Murray Shanahan

Proceedings of the AI and Consciousness: Theoretical Foundations and Current Approaches, 2007

2006

Leaf Classification Using Navigation-Based Skeletons.

Georgios Sakellariou, Murray Shanahan

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

On Packing 2D Irregular Shapes.

Alexandros Bouganis, Murray Shanahan

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

Perception as Abduction: Turning Sensor Data Into Meaningful Representation.

Murray Shanahan

Cogn. Sci., 2005

2004

Event Calculus Planning Through Satisfiability.

Murray Shanahan, Mark Witkowski

J. Log. Comput., 2004

An attempt to formalise a non-trivial benchmark problem in common sense reasoning.

Murray Shanahan

Artif. Intell., 2004

A Logic-Based Formulation of Active Visual Perception.

Murray Shanahan, David A. Randell

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

Indirect and Conditional Sensing in the Event Calculus.

Jeremy Forth, Murray Shanahan

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003

A Logic-based Algorithm for Image Sequence Interpretation and Anchoring.

Paulo E. Santos, Murray Shanahan

Proceedings of the IJCAI-03, 2003

2002

A Logical Account of Perception Incorporating Feedback and Expectation.

Murray Shanahan

Proceedings of the Eights International Conference on Principles and Knowledge Representation and Reasoning (KR-02), 2002

Hypothesising Object Relations from Image Transitions.

Paulo E. Santos, Murray Shanahan

Proceedings of the 15th European Conference on Artificial Intelligence, 2002

Some Alternative Formulations of the Event Calculus.

Rob Miller, Murray Shanahan

Proceedings of the Computational Logic: Logic Programming and Beyond, 2002

2001

From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax.

David A. Randell, Mark Witkowski, Murray Shanahan

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

An abductive event calculus planner.

Murray Shanahan

J. Log. Program., 2000

Review: M. Shanahan, Solving the Frame Problem.

Murray Shanahan

Artif. Intell., 2000

High-Level Robot Control through Logic.

Murray Shanahan, Mark Witkowski

Proceedings of the Intelligent Agents VII. Agent Theories Architectures and Languages, 2000

1999

The Event Calculus in Classical Logic - Alternative Axiomatisations.

Rob Miller, Murray Shanahan

Electron. Trans. Artif. Intell., 1999

The Ramification Problem in the Event Calculus.

Murray Shanahan

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Robot Navigation and Map Building with the Event Calculus (abstract).

Murray Shanahan, Mark Witkowski

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999

The Event Calculus Explained.

Murray Shanahan

Proceedings of the Artificial Intelligence Today: Recent Trends and Developments, 1999

1998

A Logical Account of the Common Sense Informatic Situation for a Mobile Robot.

Murray Shanahan

Electron. Trans. Artif. Intell., 1998

1997

Event Calculus Planning Revisited.

Murray Shanahan

Proceedings of the Recent Advances in AI Planning, 4th European Conference on Planning, 1997

Noise, Non-Determinism and Spatial Uncertainty.

Murray Shanahan

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Solving the frame problem - a mathematical investigation of the common sense law of inertia.

Murray Shanahan

MIT Press, ISBN: 978-0-262-19384-9, 1997

1996

Reasoning about Discontinuities in the Event Calculus.

Rob Miller, Murray Shanahan

Proceedings of the Fifth International Conference on Principles of Knowledge Representation and Reasoning (KR'96), 1996

Robotics and the Common Sense Informatic Situation.

Murray Shanahan

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

Noise and the Common Sense Informatic Situation for a Mobile Robot.

Murray Shanahan

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995

A Circumscriptive Calculus of Events.

Murray Shanahan

Artif. Intell., 1995

Default Reasoning about Spatial Occupancy.

Murray Shanahan

Artif. Intell., 1995

1994

Narratives in the Situation Calculus.

Rob Miller, Murray Shanahan

J. Log. Comput., 1994

1993

Explanation in the Situation Calculus.

Murray Shanahan

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1990

Representing Continuous Change in the Event Calculus.

Murray Shanahan

Proceedings of the 9th European Conference on Artificial Intelligence, 1990

1989

Prediction is Deduction but Explanation is Abduction.

Murray Shanahan

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Search, inference and dependencies in artificial intelligence.

Murray Shanahan, Richard Southwick

Ellis Horwood Series in artificial intelligence, Ellis Horwood, ISBN: 978-0-7458-0488-0, 1989

1987

An Incremental Theorem Prover.

Murray Shanahan

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987