cpp-AIF: A multi-core C++ implementation of Active Inference for Partially Observable Markov Decision Processes
Articolo
Data di Pubblicazione:
2024
Abstract:
Active Inference is a computational framework used in neuroscience and cognitive science that characterises perception, planning and action in terms of probabilistic inference and the minimisation of variational free energy. cpp-AIF is a header-only C++ library that provides a powerful and flexible tool for implementing Active Inference for Partially Observable Markov Decision Processes through multi-core computing. Compared with existing software, cpp-AIF is cross-platform and improves performance, memory management, and usability.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Active inference; C++ library; Multi-core parallelisation; Neuroinformatics; Partially Observable Markov Decision Processes
Elenco autori:
Gregoretti, Francesco; Pezzulo, Giovanni; Maisto, Domenico
Link alla scheda completa:
Pubblicato in: