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Matthew D. Egbert
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2020 – today
- 2023
- [c17]Samara Morrison, Christopher D. Erb, Matthew D. Egbert, Max Gurr, Alexandra Nicholson-Brown, Dana Lee:
Exploring the Dynamics of Cognitive Control using Virtual Reality. CogSci 2023 - 2022
- [j13]James Garner, Matthew D. Egbert:
Embodiment enables non-predictive ways of coping with self-caused sensory stimuli. Frontiers Comput. Sci. 4 (2022) - [j12]Matthew D. Egbert, Xabier E. Barandiaran:
Using enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habits. Frontiers Neurorobotics 16 (2022) - [j11]Felix M. G. Woolford, Matthew D. Egbert:
Goal Oriented Behavior With a Habit-Based Adaptive Sensorimotor Map Network. Frontiers Neurorobotics 16: 846693 (2022) - [c16]Felix M. G. Woolford, Matthew D. Egbert:
Investigating a Minimal Categorical Perception Task with a Node-Based Sensorimotor Map. SAB 2022: 28-40 - [c15]Yan Kolezhitskiy, Matthew D. Egbert, Claire M. Postlethwaite:
Stochastic Analysis of The Viability of a Protocell. SSCI 2022: 1537-1544 - [i1]James Garner, Matthew D. Egbert:
Embodiment Enables Non-Predictive Ways of Coping with Self-Caused Sensory Stimuli. CoRR abs/2205.06446 (2022) - 2020
- [j10]Felix M. G. Woolford, Matthew D. Egbert:
Behavioural variety of a node-based sensorimotor-to-motor map. Adapt. Behav. 28(6) (2020) - [j9]Matthew D. Egbert, Valerie Jeong, Claire M. Postlethwaite:
Where Computation and Dynamics Meet: Heteroclinic Network-Based Controllers in Evolutionary Robotics. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1084-1097 (2020) - [c14]Matthew D. Egbert:
Marangoni Based Motile Oil-Droplets in Simulated Artificial Chemistry. ALIFE 2020: 260-262 - [c13]Yan Kolezhitskiy, Matthew D. Egbert, Claire M. Postlethwaite:
Dynamical Systems Analysis of a Protocell. ALIFE 2020: 699-701 - [c12]Felix M. G. Woolford, Matthew D. Egbert:
A Precarious Sensorimotor Sequence Reiterator for Modelling Enactive Habits. ALIFE 2020: 771-779
2010 – 2019
- 2019
- [j8]Matthew D. Egbert, Andrew Keane, Claire M. Postlethwaite, Nelson Wong:
Can Signal Delay be Functional? Including Delay in Evolved Robot Controllers. Artif. Life 25(4): 315-333 (2019) - [j7]Matthew D. Egbert, Gerd Gruenert, Bashar Ibrahim, Peter Dittrich:
Combining evolution and self-organization to find natural Boolean representations in unconventional computational media. Biosyst. 184 (2019) - [c11]Matthew D. Egbert, Yan Kolezhitskiy, Nathaniel Virgo:
Steering the Growth of Adaptive Self-Preserving Dissipative Structures. ALIFE 2019: 255-262 - [c10]Mario Zarco, Matthew D. Egbert:
Different Forms of Random Motor Activity Scaffold the Formation of Different Habits in a Simulated Robot. ALIFE 2019: 582-589 - 2018
- [j6]Eran Agmon, Matthew D. Egbert, Nathaniel Virgo:
The Biological Foundations of Enactivism: A Report on a Workshop Held at Artificial Life XV. Artif. Life 24(1) (2018) - [j5]Matthew D. Egbert, Juan Pérez-Mercader:
Methods for Measuring Viability and Evaluating Viability Indicators. Artif. Life 24(2) (2018) - [c9]Matthew D. Egbert:
Investigations of an Adaptive and Autonomous Sensorimotor Individual. ALIFE 2018: 343-350 - 2017
- [c8]Matthew D. Egbert, Andrew Keane, Claire M. Postlethwaite:
Lag in situated, embodied and dynamical adaptive systems. ECAL 2017: 130-137 - 2016
- [c7]Juan Pérez-Mercader, Matthew D. Egbert:
Quantifying Viability. ALIFE 2016: 720-721 - 2014
- [j4]Xabier E. Barandiaran, Matthew D. Egbert:
Norm-Establishing and Norm-Following in Autonomous Agency. Artif. Life 20(1): 5-28 (2014) - [c6]Matthew D. Egbert, Lola Cañamero:
Habit-Based Regulation of Essential Variables. ALIFE 2014: 168-175 - 2013
- [c5]Matthew D. Egbert, Gerd Gruenert, Gabi Escuela, Peter Dittrich:
Synthetic signalling protocell networks as models of neural computation. ECAL 2013: 248-249 - 2012
- [b1]Matthew D. Egbert:
Adaptation from interactions between metabolism and behaviour : self-sensitive behaviour in protocells. University of Sussex, UK, 2012 - [j3]Matthew D. Egbert, Xabier E. Barandiaran, Ezequiel A. Di Paolo:
Behavioral Metabolution: The Adaptive and Evolutionary Potential of Metabolism-Based Chemotaxis. Artif. Life 18(1): 1-25 (2012) - 2011
- [c4]Matthew D. Egbert, Xabier E. Barandiaran:
Quantifying normative behaviour and precariousness in adaptive agency. ECAL 2011: 210-217 - 2010
- [j2]Matthew D. Egbert, Xabier E. Barandiaran, Ezequiel A. Di Paolo:
A Minimal Model of Metabolism-Based Chemotaxis. PLoS Comput. Biol. 6(12) (2010) - [c3]Matthew D. Egbert, Xabier E. Barandiaran, Ezequiel A. Di Paolo:
Behavioral Metabolution - Metabolism Based Behavior Enables New Forms of Adaptation and Evolution. ALIFE 2010: 213-220
2000 – 2009
- 2009
- [j1]Matthew D. Egbert, Ezequiel A. Di Paolo:
Integrating Autopoiesis and Behavior: An Exploration in Computational Chemo-ethology. Adapt. Behav. 17(5): 387-401 (2009) - [c2]Nathaniel Virgo, Matthew D. Egbert, Tom Froese:
The Role of the Spatial Boundary in Autopoiesis. ECAL (1) 2009: 240-247 - [c1]Matthew D. Egbert, Ezequiel A. Di Paolo, Xabier E. Barandiaran:
Chemo-ethology of an Adaptive Protocell - Sensorless Sensitivity to Implicit Viability Conditions. ECAL (1) 2009: 248-255
Coauthor Index
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