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Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments. / Kolonin, Anton.

Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings. ed. / Ben Goertzel; Matthew Iklé; Alexey Potapov. 1. ed. Springer Science and Business Media Deutschland GmbH, 2022. p. 106-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13154 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Kolonin, A 2022, Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments. in B Goertzel, M Iklé & A Potapov (eds), Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13154 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 106-115, 14th International Conference on Artificial General Intelligence, AGI 2021, San Francisco, United States, 15.10.2021. https://doi.org/10.1007/978-3-030-93758-4_12

APA

Kolonin, A. (2022). Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments. In B. Goertzel, M. Iklé, & A. Potapov (Eds.), Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings (1 ed., pp. 106-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13154 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-93758-4_12

Vancouver

Kolonin A. Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments. In Goertzel B, Iklé M, Potapov A, editors, Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings. 1 ed. Springer Science and Business Media Deutschland GmbH. 2022. p. 106-115. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-93758-4_12

Author

Kolonin, Anton. / Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments. Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings. editor / Ben Goertzel ; Matthew Iklé ; Alexey Potapov. 1. ed. Springer Science and Business Media Deutschland GmbH, 2022. pp. 106-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{b52a3a7d6edc405081ff0fb353e5b878,
title = "Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments",
abstract = "The paper presents a “horizontal neuro-symbolic integration” approach for artificial general intelligence along with elementary representation-agnostic cognitive architecture and explores its usability under the experiential learning framework for reinforcement learning problem powered by “global feedback”.",
keywords = "Artificial general intelligence, Cognitive architecture, Domain ontology, Experiential learning, Global feedback, Local feedback, Neuro-symbolic integration, Operational space, Reinforcement learning",
author = "Anton Kolonin",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 14th International Conference on Artificial General Intelligence, AGI 2021 ; Conference date: 15-10-2021 Through 18-10-2021",
year = "2022",
doi = "10.1007/978-3-030-93758-4_12",
language = "English",
isbn = "978-3-030-93757-7",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "106--115",
editor = "Ben Goertzel and Matthew Ikl{\'e} and Alexey Potapov",
booktitle = "Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings",
address = "Germany",
edition = "1",

}

RIS

TY - GEN

T1 - Neuro-Symbolic Architecture for Experiential Learning in Discrete and Functional Environments

AU - Kolonin, Anton

N1 - Publisher Copyright: © 2022, Springer Nature Switzerland AG.

PY - 2022

Y1 - 2022

N2 - The paper presents a “horizontal neuro-symbolic integration” approach for artificial general intelligence along with elementary representation-agnostic cognitive architecture and explores its usability under the experiential learning framework for reinforcement learning problem powered by “global feedback”.

AB - The paper presents a “horizontal neuro-symbolic integration” approach for artificial general intelligence along with elementary representation-agnostic cognitive architecture and explores its usability under the experiential learning framework for reinforcement learning problem powered by “global feedback”.

KW - Artificial general intelligence

KW - Cognitive architecture

KW - Domain ontology

KW - Experiential learning

KW - Global feedback

KW - Local feedback

KW - Neuro-symbolic integration

KW - Operational space

KW - Reinforcement learning

UR - http://www.scopus.com/inward/record.url?scp=85123316862&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/ba49bae9-d9a4-3782-8679-90c7732b7b47/

U2 - 10.1007/978-3-030-93758-4_12

DO - 10.1007/978-3-030-93758-4_12

M3 - Conference contribution

AN - SCOPUS:85123316862

SN - 978-3-030-93757-7

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 106

EP - 115

BT - Artificial General Intelligence - 14th International Conference, AGI 2021, Proceedings

A2 - Goertzel, Ben

A2 - Iklé, Matthew

A2 - Potapov, Alexey

PB - Springer Science and Business Media Deutschland GmbH

T2 - 14th International Conference on Artificial General Intelligence, AGI 2021

Y2 - 15 October 2021 through 18 October 2021

ER -

ID: 35323870