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Markov Blankets for Sustainability
2023This paper’s aim is twofold: on the one hand, to provide an overview of the state of the art of some kind of Bayesian networks, i.e. Markov blankets (MB), focusing on their relationship with the cognitive theories of the free energy principle (FEP) and active inference.
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A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery
IEEE Transactions on Parallel and Distributed Systems, 2023Bayesian networks (BNs) are a widely used graphical model in machine learning. As learning the structure of BNs is NP-hard, high-performance computing methods are necessary for constructing large-scale networks.
Ankit Srivastava +2 more
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Behavioral and Brain Sciences, 2020
Abstract This commentary focuses upon the relationship between two themes in the target article: the ways in which a Markov blanket may be defined and the role of precision and salience in mediating the interactions between what is internal and external to a system.
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Abstract This commentary focuses upon the relationship between two themes in the target article: the ways in which a Markov blanket may be defined and the role of precision and salience in mediating the interactions between what is internal and external to a system.
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Markov blankets and the preformationist assumption
Behavioral and Brain Sciences, 2022Abstract Bruineberg and colleagues argue that a realist interpretation of Markov blankets inadvertently relies upon unfounded assumptions. However, insofar as their diagnosis is accurate, their prescribed instrumentalism may ultimately prove insufficient as a complete remedy.
Mads Dengsø +2 more
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IEEE Transactions on Parallel and Distributed Systems, 2023
In SC20, (Srivastava et al. 2020) proposed a Parallel Framework for Bayesian Learning, or ramBLe, for short, which is a highly parallel and efficient framework for learning the structure of Bayesian Networks (BNs) from samples, There was a discrepancy in
Guancheng Li +9 more
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In SC20, (Srivastava et al. 2020) proposed a Parallel Framework for Bayesian Learning, or ramBLe, for short, which is a highly parallel and efficient framework for learning the structure of Bayesian Networks (BNs) from samples, There was a discrepancy in
Guancheng Li +9 more
semanticscholar +1 more source
Markov blankets do not demarcate the boundaries of the mind
Behavioral and Brain Sciences, 2022Abstract We agree with Bruineberg and colleagues' main claims. However, we urge for a more forceful critique by focusing on the extended mind debate. We argue that even once the Pearl and Friston versions of the Markov blanket have been untangled, that neither is sufficient for tackling and resolving the question of demarcating the boundaries of the
Richard Menary, Alexander J. Gillett
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Hybrid Markov Blanket discovery
2016 23rd International Conference on Pattern Recognition (ICPR), 2016In a Bayesian Network (BN), a target node is independent of all other nodes given its Markov Blanket (MB). By finding the MB, many problem can be solved directly or indirectly. There exist predominately two different approaches to finding the MB: the score-based and the constraint-based algorithms.
Tian Gao, Qiang Ji
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Discovery of context-specific Markov blankets
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2005The notion of context-specific Markov blankets (CSMB) is a refinement of Markov blankets (MB). An important property of context specific Markov-blankets is that in the worst case they need as many parameters as a model using a standard Markov blanket, but frequently considerably fewer. The result is expected to be a much improved probabilistic model of
Assaf Klein, Solomon Eyal Shimony
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Annals of the Academy of Romanian Scientists Series on Biological Sciences
This paper delves into the application of the Free Energy Principle (FEP) and the concept of the Markov blanket in understanding the neurocognitive implications of concussion. The FEP, a unifying theory in neuroscience, posits that the brain functions to
Ioannis A. Mavroudis, A. Ciobîcă
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This paper delves into the application of the Free Energy Principle (FEP) and the concept of the Markov blanket in understanding the neurocognitive implications of concussion. The FEP, a unifying theory in neuroscience, posits that the brain functions to
Ioannis A. Mavroudis, A. Ciobîcă
semanticscholar +1 more source
Causal Structure Learning Based on Genetic Algorithm and Markov Blanket
Cyber ..Discovering causal relationships inherent in observed data plays a crucial role in advancing scientific research. However, in most existing causal structure learning methods, score-based search approaches often suffer from poor scalability and struggle ...
Haoyu Wang +7 more
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