Intelligence: From Definition to Design

Pei Wang
Proceedings of the Third International Workshop on Self-Supervised Learning, PMLR 192:35-47, 2022.

Abstract

This paper provides a non-technical description of the ideas behind a model of intelligence that has been formalized and computerized. These ideas are organized into a train of thought consisting of the major design decisions of the model and contrasted with the major approaches in the field of artificial intelligence. The implications of these decisions are also discussed.

Cite this Paper

BibTeX
@InProceedings{pmlr-v192-wang22a, title = {Intelligence: {F}rom Definition to Design}, author = {Wang, Pei}, booktitle = {Proceedings of the Third International Workshop on Self-Supervised Learning}, pages = {35--47}, year = {2022}, editor = {Thórisson, Kristinn R.}, volume = {192}, series = {Proceedings of Machine Learning Research}, month = {28--29 Jul}, publisher = {PMLR}, pdf = {https://proceedings.mlr.press/v192/wang22a/wang22a.pdf}, url = {https://proceedings.mlr.press/v192/wang22a.html}, abstract = {This paper provides a non-technical description of the ideas behind a model of intelligence that has been formalized and computerized. These ideas are organized into a train of thought consisting of the major design decisions of the model and contrasted with the major approaches in the field of artificial intelligence. The implications of these decisions are also discussed.} }
Endnote
%0 Conference Paper %T Intelligence: From Definition to Design %A Pei Wang %B Proceedings of the Third International Workshop on Self-Supervised Learning %C Proceedings of Machine Learning Research %D 2022 %E Kristinn R. Thórisson %F pmlr-v192-wang22a %I PMLR %P 35--47 %U https://proceedings.mlr.press/v192/wang22a.html %V 192 %X This paper provides a non-technical description of the ideas behind a model of intelligence that has been formalized and computerized. These ideas are organized into a train of thought consisting of the major design decisions of the model and contrasted with the major approaches in the field of artificial intelligence. The implications of these decisions are also discussed.
APA
Wang, P.. (2022). Intelligence: From Definition to Design. Proceedings of the Third International Workshop on Self-Supervised Learning, in Proceedings of Machine Learning Research 192:35-47 Available from https://proceedings.mlr.press/v192/wang22a.html.

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