Argument-based inductive logics, with coverage of compromised perception.

AI Monty Hall dilemma argument and automated reasoning cognitive robotics compromised perception inductive logic

Journal

Frontiers in artificial intelligence
ISSN: 2624-8212
Titre abrégé: Front Artif Intell
Pays: Switzerland
ID NLM: 101770551

Informations de publication

Date de publication:
2023
Historique:
received: 14 01 2023
accepted: 04 10 2023
medline: 23 1 2024
pubmed: 23 1 2024
entrez: 23 1 2024
Statut: epublish

Résumé

Formal deductive logic, used to express and reason over declarative, axiomatizable content, captures, we now know, essentially all of what is known in mathematics and physics, and captures as well the details of the proofs by which such knowledge has been secured. This is certainly impressive, but deductive logic alone cannot enable rational adjudication of arguments that are at variance (however much additional information is added). After affirming a fundamental directive, according to which argumentation should be the basis for human-centric AI, we introduce and employ both a deductive and-crucially-an inductive

Identifiants

pubmed: 38259824
doi: 10.3389/frai.2023.1144569
pmc: PMC10800596
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1144569

Informations de copyright

Copyright © 2024 Bringsjord, Giancola, Govindarajulu, Slowik, Oswald, Bello and Clark.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Selmer Bringsjord (S)

Rensselaer AI & Reasoning (RAIR) Lab, Department of Computer Science, Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY, United States.

Michael Giancola (M)

Rensselaer AI & Reasoning (RAIR) Lab, Department of Computer Science, Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY, United States.

Naveen Sundar Govindarajulu (NS)

Rensselaer AI & Reasoning (RAIR) Lab, Department of Computer Science, Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY, United States.

John Slowik (J)

Rensselaer AI & Reasoning (RAIR) Lab, Department of Computer Science, Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY, United States.

James Oswald (J)

Rensselaer AI & Reasoning (RAIR) Lab, Department of Computer Science, Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY, United States.

Paul Bello (P)

Naval Research Laboratory, Washington, DC, United States.

Micah Clark (M)

College of Information Sciences and Technology, Pennsylvania State University, State College, PA, United States.

Classifications MeSH