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ORCIDMaxwell James D. Ramstead
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2020 – today
- 2024
[e4]Christopher L. Buckley
, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse:
Active Inference - 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers. Communications in Computer and Information Science 1915, Springer 2024, ISBN 978-3-031-47957-1 [contents]- [i5]Axel Constant, Hannes Westermann, Bryan Wilson, Alex B. Kiefer, Inês Hipólito, Sylvain Pronovost, Steven Swanson, Mahault Albarracin, Maxwell J. D. Ramstead:
A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks. CoRR abs/2403.18537 (2024) - 2023
- [c3]Mahault Albarracin, Inês Hipólito, Safae Essafi Tremblay, Jason G. Fox, Gabriel René, Karl J. Friston, Maxwell J. D. Ramstead:
Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-Making. IWAI 2023: 123-144 - [e3]Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen:
Active Inference - Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1721, Springer 2023, ISBN 978-3-031-28718-3 [contents] - [i4]Mahault Albarracin, Inês Hipólito, Safae Essafi Tremblay, Jason G. Fox, Gabriel René, Karl J. Friston, Maxwell J. D. Ramstead:
Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making. CoRR abs/2306.04025 (2023) - [i3]Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead:
Active Inference and Intentional Behaviour. CoRR abs/2312.07547 (2023) - 2022
- [j7]Mahault Albarracin, Daphne Demekas, Maxwell J. D. Ramstead, Conor Heins:
Epistemic Communities under Active Inference. Entropy 24(4): 476 (2022) - [j6]Paul B. Badcock, Maxwell J. D. Ramstead, Zahra Sheikhbahaee, Axel Constant:
Applying the Free Energy Principle to Complex Adaptive Systems. Entropy 24(5): 689 (2022) - [c2]Mahault Albarracin, Riddhi J. Pitliya, Maxwell J. D. Ramstead, Jeffrey Yoshimi:
Mapping Husserlian Phenomenology onto Active Inference. IWAI 2022: 99-111 - [i2]Mahault Albarracin, Riddhi J. Pitliya, Maxwell J. D. Ramstead, Jeffrey Yoshimi:
Mapping Husserlian phenomenology onto active inference. CoRR abs/2208.09058 (2022) - [i1]Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René:
Designing Ecosystems of Intelligence from First Principles. CoRR abs/2212.01354 (2022) - 2021
- [j5]Thomas Parr, Lancelot Da Costa, Conor Heins, Maxwell James D. Ramstead, Karl J. Friston:
Memory and Markov Blankets. Entropy 23(9): 1105 (2021) - [j4]Thomas Parr, Dimitrije Markovic, Maxwell James D. Ramstead, Ryan Smith, Casper Hesp, Karl J. Friston:
Editorial: Probabilistic Perspectives on Brain (Dys)function. Frontiers Artif. Intell. 4: 710179 (2021) - [j3]Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston, Maxwell James D. Ramstead:
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. Neural Comput. 33(2): 398-446 (2021) - [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - 2020
- [j2]Maxwell James D. Ramstead, Michael D. Kirchhoff, Karl J. Friston:
A tale of two densities: active inference is enactive inference. Adapt. Behav. 28(4) (2020) - [j1]Maxwell James D. Ramstead, Karl J. Friston, Inês Hipólito:
Is the Free-Energy Principle a Formal Theory of Semantics? From Variational Density Dynamics to Neural and Phenotypic Representations. Entropy 22(8): 889 (2020) - [c1]Casper Hesp, Alexander Tschantz, Beren Millidge, Maxwell Ramstead, Karl J. Friston, Ryan Smith:
Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events. IWAI 2020: 179-186
Coauthor Index
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