MACHINE LEARNING FOR INDIVIDUAL MORAL DECISION-MAKING

Number of patents in Portfolio can not be more than 2000

United States of America Patent

APP PUB NO 20240054323A1
SERIAL NO

18278496

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Abstract

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A decision network for moral decision-making includes a trained group artificial neural network (ANN), a trained individual ANN, and a fusion block. The trained group ANN is configured to receive a selected input vector and to produce an estimated en group output based, at least in part, on the selected input vector. The trained group ANN is trained based, at least in part, on group training data including a plurality of group input vectors and corresponding training group outputs. Each group input vector includes a plurality of scenario parameters. The trained individual ANN is configured to receive the selected input vector and to produce an estimated individual output based, at least in part, on the selected input vector. The trained individual ANN is trained after the trained group ANN is trained.

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Patent Owner(s)

Patent OwnerAddress
RENSSELAER POLYTECHNIC INSTITUTE110 8TH STREET J BUILDING OFFICE OF TECHNOLOGY COMMERCIALIZATION TROY NY 12180-3590

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kruger, Uwe Callston Lake, US 13 85
Wang, Ge Loudonville, US 220 2612
Wiedeman, Christopher Troy, US 3 0

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