2024
Talking about Large Language Models.
Commun. ACM, February, 2024
Transformers Use Causal World Models in Maze-Solving Tasks.
CoRR, 2024
Still "Talking About Large Language Models": Some Clarifications.
CoRR, 2024
The broader spectrum of in-context learning.
CoRR, 2024
Existential Conversations with Large Language Models: Content, Community, and Culture.
CoRR, 2024
The Propensity for Density in Feed-forward Models.
CoRR, 2024
The Ethics of Advanced AI Assistants.
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CoRR, 2024
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI.
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CoRR, 2024
Simulacra as Conscious Exotica.
CoRR, 2024
The Propensity for Density in Feed-Forward Models.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning.
Trans. Mach. Learn. Res., 2023
Role play with large language models.
Nat., 2023
Improving Activation Steering in Language Models with Mean-Centring.
CoRR, 2023
Evaluating Large Language Model Creativity from a Literary Perspective.
CoRR, 2023
Schema-learning and rebinding as mechanisms of in-context learning and emergence.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
A Predictive Processing Model of Episodic Memory and Time Perception.
Neural Comput., 2022
Faithful Reasoning Using Large Language Models.
CoRR, 2022
Sparse Relational Reasoning with Object-Centric Representations.
CoRR, 2022
Abstraction for Deep Reinforcement Learning.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Encoders and Ensembles for Task-Free Continual Learning.
CoRR, 2021
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
AlignNet: Unsupervised Entity Alignment.
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CoRR, 2020
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning.
CoRR, 2020
Learning Diverse Representations for Fast Adaptation to Distribution Shift.
CoRR, 2020
Continual Reinforcement Learning with Multi-Timescale Replay.
CoRR, 2020
An Explicitly Relational Neural Network Architecture.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition.
CoRR, 2019
The Animal-AI Testbed and Competition.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019
Policy Consolidation for Continual Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
Deep reinforcement learning with relational inductive biases.
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Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Consistent Generative Query Networks.
CoRR, 2018
Relational Deep Reinforcement Learning.
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CoRR, 2018
Deep Reinforcement Learning with Risk-Seeking Exploration.
Proceedings of the From Animals to Animats 15, 2018
Continual Reinforcement Learning with Complex Synapses.
Proceedings of the 35th International Conference on Machine Learning, 2018
Conditional Neural Processes.
Proceedings of the 35th International Conference on Machine Learning, 2018
SCAN: Learning Hierarchical Compositional Visual Concepts.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
The Partial Information Decomposition of Generative Neural Network Models.
Entropy, 2017
An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons.
Cogn. Comput., 2017
2016
Towards Deep Symbolic Reinforcement Learning.
CoRR, 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.
CoRR, 2016
Classifying Options for Deep Reinforcement Learning.
CoRR, 2016
A reservoir computing model of episodic memory.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Effects of lesions on synchrony and metastability in cortical networks.
NeuroImage, 2015
Ascribing Consciousness to Artificial Intelligence.
CoRR, 2015
Local and global criticality within oscillating networks of spiking neurons.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
GPU-based fast parameter optimization for phenomenological spiking neural models.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Does plasticity promote criticality?
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.
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.
Neuroinformatics, 2013
Large-scale network organization in the avian forebrain: a connectivity matrix and theoretical analysis.
Frontiers Comput. Neurosci., 2013
A Cognitive Neural Architecture as a Robot Controller.
Proceedings of the Biomimetic and Biohybrid Systems, 2013
STDP produces robust oscillatory architectures that exhibit precise collective synchronization.
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.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
How well do oscillator models capture the behaviour of biological neurons?
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Establishing communication between neuronal populations through competitive entrainment.
Frontiers Comput. Neurosci., 2011
Serial from Parallel, Unity from Multiplicity: What Emerges from Global Workspace Architecture.
Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011
2010
A computational model of a global neuronal workspace with stochastic connections.
Neural Networks, 2010
Accelerated simulation of spiking neural networks using GPUs.
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.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
NeMo: A Platform for Neural Modelling of Spiking Neurons Using GPUs.
Proceedings of the 20th IEEE International Conference on Application-Specific Systems, 2009
2008
Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace.
Proceedings of the Cognitive Vision, 4th International Workshop, 2008
Flexible object recognition in cluttered scenes using relative point distribution models.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Modeling the Neural Basis of Cognitive Integration and Consciousness.
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.
IEEE Trans Autom. Sci. Eng., 2007
A fast evaluation criterion for the recognition of occluded shapes.
Robotics Auton. Syst., 2007
A Simulated Global Neuronal Workspace with Stochastic Wiring.
Proceedings of the AI and Consciousness: Theoretical Foundations and Current Approaches, 2007
2006
Leaf Classification Using Navigation-Based Skeletons.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006
On Packing 2D Irregular Shapes.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006
2005
Perception as Abduction: Turning Sensor Data Into Meaningful Representation.
Cogn. Sci., 2005
2004
Event Calculus Planning Through Satisfiability.
J. Log. Comput., 2004
An attempt to formalise a non-trivial benchmark problem in common sense reasoning.
Artif. Intell., 2004
A Logic-Based Formulation of Active Visual Perception.
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.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
2003
A Logic-based Algorithm for Image Sequence Interpretation and Anchoring.
Proceedings of the IJCAI-03, 2003
2002
A Logical Account of Perception Incorporating Feedback and Expectation.
Proceedings of the Eights International Conference on Principles and Knowledge Representation and Reasoning (KR-02), 2002
Hypothesising Object Relations from Image Transitions.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002
Some Alternative Formulations of the Event Calculus.
Proceedings of the Computational Logic: Logic Programming and Beyond, 2002
2001
From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
2000
An abductive event calculus planner.
J. Log. Program., 2000
Review: M. Shanahan, Solving the Frame Problem.
Artif. Intell., 2000
High-Level Robot Control through Logic.
Proceedings of the Intelligent Agents VII. Agent Theories Architectures and Languages, 2000
1999
The Event Calculus in Classical Logic - Alternative Axiomatisations.
Electron. Trans. Artif. Intell., 1999
The Ramification Problem in the Event Calculus.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
Robot Navigation and Map Building with the Event Calculus (abstract).
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999
The Event Calculus Explained.
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.
Electron. Trans. Artif. Intell., 1998
1997
Event Calculus Planning Revisited.
Proceedings of the Recent Advances in AI Planning, 4th European Conference on Planning, 1997
Noise, Non-Determinism and Spatial Uncertainty.
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.
MIT Press, ISBN: 978-0-262-19384-9, 1997
1996
Reasoning about Discontinuities in the Event Calculus.
Proceedings of the Fifth International Conference on Principles of Knowledge Representation and Reasoning (KR'96), 1996
Robotics and the Common Sense Informatic Situation.
Proceedings of the 12th European Conference on Artificial Intelligence, 1996
Noise and the Common Sense Informatic Situation for a Mobile Robot.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
A Circumscriptive Calculus of Events.
Artif. Intell., 1995
Default Reasoning about Spatial Occupancy.
Artif. Intell., 1995
1994
Narratives in the Situation Calculus.
J. Log. Comput., 1994
1993
Explanation in the Situation Calculus.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993
1990
Representing Continuous Change in the Event Calculus.
Proceedings of the 9th European Conference on Artificial Intelligence, 1990
1989
Prediction is Deduction but Explanation is Abduction.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989
Search, inference and dependencies in artificial intelligence.
Ellis Horwood Series in artificial intelligence, Ellis Horwood, ISBN: 978-0-7458-0488-0, 1989
1987
An Incremental Theorem Prover.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987