Designing Ecosystems of Intelligence from First Principles

Contenu

Titre
Designing Ecosystems of Intelligence from First Principles
Date de soumission
8 décembre 2022 à 07:24:46 +00:00
Est référencé par
FNNTK4U8
Résumé
This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosystem of natural and synthetic sense-making, in which humans are integral participants$\unicode{x2014}$what we call ''shared intelligence''. This vision is premised on active inference, a formulation of adaptive behavior that can be read as a physics of intelligence, and which inherits from the physics of self-organization. In this context, we understand intelligence as the capacity to accumulate evidence for a generative model of one's sensed world$\unicode{x2014}$also known as self-evidencing. Formally, this corresponds to maximizing (Bayesian) model evidence, via belief updating over several scales: i.e., inference, learning, and model selection. Operationally, this self-evidencing can be realized via (variational) message passing or belief propagation on a factor graph. Crucially, active inference foregrounds an existential imperative of intelligent systems; namely, curiosity or the resolution of uncertainty. This same imperative underwrites belief sharing in ensembles of agents, in which certain aspects (i.e., factors) of each agent's generative world model provide a common ground or frame of reference. Active inference plays a foundational role in this ecology of belief sharing$\unicode{x2014}$leading to a formal account of collective intelligence that rests on shared narratives and goals. We also consider the kinds of communication protocols that must be developed to enable such an ecosystem of intelligences and motivate the development of a shared hyper-spatial modeling language and transaction protocol, as a first$\unicode{x2014}$and key$\unicode{x2014}$step towards such an ecology.
Date
2 décembre 2022
Source
arXiv.org
is compiled by
Lucky Semiosis
Complexité
1,308
Date de modification
8 septembre 2023 à 06:54:15 +00:00
Détails de la complexité
Physique,1,,,,,67,67
Physique,2,,,,,122,244
Actant,2,,,,,21,42
Concept,1,,,,,66,66
Concept,2,,,,,124,248
Rapport,1,1,Physique,Concept,properties,66,66
Rapport,1,1,Physique,Physique,values,66,66
Rapport,1,1,Physique,Actant,dcterms:creator,20,20
Rapport,2,2,Actant,Concept,properties,104,208
Rapport,2,2,Actant,Physique,values,104,208
Rapport,1,1,Physique,Actant,cito:isCompiledBy,1,1
Rapport,1,1,Physique,Concept,skos:semanticRelation,4,4
Rapport,2,2,Concept,Concept,properties,12,24
Rapport,2,2,Concept,Physique,values,12,24
Rapport,1,1,Physique,Physique,media,2,2
Rapport,2,2,Physique,Concept,properties,4,8
Rapport,2,2,Physique,Physique,values,4,8
Rapport,1,1,Physique,Physique,uri,2,2
Totaux de la complexité
Physique,2,1,2,189,311
Actant,1,2,2,21,42
Concept,2,1,2,190,314
Rapport,13,1,2,401,641
Existence,18,1,2,801,1308
1,119
Date de modification
8 janvier 2024 à 10:57:46 +00:00
Détails de la complexité
dimension,niv (sujet),niv objet,sujet,objet,prédicat,nb,c
Physique,1,,,,,33,33
Physique,2,,,,,127,254
Actant,1,,,,,1,1
Actant,2,,,,,21,42
Concept,1,,,,,10,10
Concept,2,,,,,119,238
Rapport,1,1,Actant,Concept,properties,10,10
Rapport,1,1,Actant,Physique,values,32,32
Rapport,1,1,Actant,Physique,owner,1,1
Rapport,2,1,Actant,Physique,dcterms:isPartOf,1,2
Rapport,2,2,Actant,Concept,properties,115,230
Rapport,2,2,Actant,Physique,values,115,230
Rapport,2,1,Actant,Physique,oa:hasSource,4,8
Rapport,1,1,Actant,Actant,dcterms:creator,20,20
Rapport,1,1,Actant,Actant,cito:isCompiledBy,1,1
Rapport,1,1,Actant,Concept,skos:semanticRelation,4,4
Rapport,1,1,Actant,Physique,media,2,2
Rapport,1,1,Actant,Physique,uri,1,1
Totaux de la complexité
Physique,2,1,2,160,287
Actant,2,1,2,22,43
Concept,2,1,2,129,248
Rapport,12,1,2,306,541
Existence,18,1,2,617,1119,
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