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Dynamic probabilistic decision networks — arXiv:2609.03632

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.03632
License (as archived): CC0-1.0
Archived: 2026-10-17T02:03:36.516Z
SHA-256 of the archived text: da16570996c984fa3a9ff3f48a37001cee3f75285fe59c234fd8b2631ccc3dba
Stable URL of this page: https://metraipolis.com/documento/dc_32cf2ed8ae87

How to cite

Dynamic probabilistic decision networks — arXiv:2609.03632 — arXiv (en), https://arxiv.org/abs/2609.03632 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_32cf2ed8ae87 (Metraipolis archive dc_32cf2ed8ae87, sha256 da16570996c984fa3a9ff3f48a37001cee3f75285fe59c234fd8b2631ccc3dba)

BibTeX

@misc{dc32cf2ed8ae87,
  title = {Dynamic probabilistic decision networks — arXiv:2609.03632},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.03632},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_32cf2ed8ae87; sha256 da16570996c984fa3a9ff3f48a37001cee3f75285fe59c234fd8b2631ccc3dba},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.03632. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

A new type of decision networks is suggested and its operation is analyzed. The network nodes are represented by intelligent agents who can denote either some biological beings, like humans, or neurons of the brain, or the nodes of artificial intelligence. The specifics of the network are in the following: It is probabilistic in the sense that the choice, accomplished by each agent, is characterized by the related probability. It is dynamic, with the probabilities varying in time due to the exchange of information between the agents. It is affective, because the agents choose between alternatives by taking account of utility as well as of biases and emotions. In general, it is heterogeneous, being composed of the groups of agents with different properties, for instance having long-term memory and short-term memory. The network dynamics, caused by the information exchange, results in decision error decrease. The network operation is illustrated by the example starting with the Allais paradox, its resolution, and the decision error diminution in the process of decision dynamics with information exchange. Resorting to machine-learning techniques it is possible to regulate the behavior of the network agents forcing them to choose particular alternatives.

Tema degli esploratori: governance digitale e beni comuni (retro-catalogo arXiv: annunci del 2026-09-04 in cs.SI).
Categorie arXiv: Physics and Society (physics.soc-ph) ; Social and Information Networks (cs.SI).
Pagina del lavoro: https://arxiv.org/abs/2609.03632 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T01:27:46.961Z dalla pagina https://arxiv.org/catchup/cs.SI/2026-09-04?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).