Epistemic Communities under Active Inference

Cite This

Files in this item

Checksum: MD5:89c09a0ec87016169ec392126d96300a

ALBARRACIN, Mahault, Daphne DEMEKAS, Maxwell James D. RAMSTEAD, Conor HEINS, 2022. Epistemic Communities under Active Inference. In: Entropy. MDPI. 24(4), 476. eISSN 1099-4300. Available under: doi: 10.3390/e24040476

@article{Albarracin2022Epist-57468, title={Epistemic Communities under Active Inference}, year={2022}, doi={10.3390/e24040476}, number={4}, volume={24}, journal={Entropy}, author={Albarracin, Mahault and Demekas, Daphne and Ramstead, Maxwell James D. and Heins, Conor}, note={Article Number: 476} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/57468"> <dc:contributor>Albarracin, Mahault</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57468/1/Albaraccin_2-1ql7ixx050csb2.pdf"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:contributor>Heins, Conor</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-05-09T10:03:12Z</dcterms:available> <dc:creator>Ramstead, Maxwell James D.</dc:creator> <dcterms:abstract xml:lang="eng">The spread of ideas is a fundamental concern of today's news ecology. Understanding the dynamics of the spread of information and its co-option by interested parties is of critical importance. Research on this topic has shown that individuals tend to cluster in echo-chambers and are driven by confirmation bias. In this paper, we leverage the active inference framework to provide an in silico model of confirmation bias and its effect on echo-chamber formation. We build a model based on active inference, where agents tend to sample information in order to justify their own view of reality, which eventually leads to them to have a high degree of certainty about their own beliefs. We show that, once agents have reached a certain level of certainty about their beliefs, it becomes very difficult to get them to change their views. This system of self-confirming beliefs is upheld and reinforced by the evolving relationship between an agent's beliefs and observations, which over time will continue to provide evidence for their ingrained ideas about the world. The epistemic communities that are consolidated by these shared beliefs, in turn, tend to produce perceptions of reality that reinforce those shared beliefs. We provide an active inference account of this community formation mechanism. We postulate that agents are driven by the epistemic value that they obtain from sampling or observing the behaviours of other agents. Inspired by digital social networks like Twitter, we build a generative model in which agents generate observable social claims or posts (e.g., 'tweets') while reading the socially observable claims of other agents that lend support to one of two mutually exclusive abstract topics. Agents can choose which other agent they pay attention to at each timestep, and crucially who they attend to and what they choose to read influences their beliefs about the world. Agents also assess their local network's perspective, influencing which kinds of posts they expect to see other agents making. The model was built and simulated using the freely available Python package pymdp. The proposed active inference model can reproduce the formation of echo-chambers over social networks, and gives us insight into the cognitive processes that lead to this phenomenon.</dcterms:abstract> <dc:rights>Attribution 4.0 International</dc:rights> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/43615"/> <dc:language>eng</dc:language> <dc:creator>Heins, Conor</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2022-05-09T10:03:12Z</dc:date> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/57468/1/Albaraccin_2-1ql7ixx050csb2.pdf"/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Ramstead, Maxwell James D.</dc:contributor> <dc:creator>Demekas, Daphne</dc:creator> <dcterms:issued>2022</dcterms:issued> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/57468"/> <dc:contributor>Demekas, Daphne</dc:contributor> <dc:creator>Albarracin, Mahault</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/43615"/> <dcterms:title>Epistemic Communities under Active Inference</dcterms:title> </rdf:Description> </rdf:RDF>

Downloads since May 9, 2022 (Information about access statistics)

Albaraccin_2-1ql7ixx050csb2.pdf 16

This item appears in the following Collection(s)

Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International

Search KOPS


Browse

My Account