In this paper, logic is developed based on the view that the brain nerve circuit is composed of a combination of neural circuits with the same function. The subject of logic is animal's action; from early evolved animals that only perform feeding to more evolved animals that have ability to act as groups. In Chapter 2, reconstructed and outlined the previously published papers described about Basic Unit. Using category theory, Basic Unit is defined as an object in neural network (defined as category). By setting functions between categories, behavior of multiple categories express imitation behavior not only eating behavior. These functions enable collective actions and are the basis of individual communication. Chapter 3 describes the essential functions which human communication make superiority to non-human communication. First, a new neural network is placed on the top level of the existing neural network. The new neural network operates asynchronously with the existing neural network directly involved with the senses and motile organ. Next, a process to share events that are recognized by new neural networks among companions is presented. In other words, dialogue deploys individual knowledge to group knowledge. It is clear that the spreading of knowledge from individuals to groups is one of the most value of language. On dialogue session, there is no guarantee that the listener understands the content with just one explanation of the speaker. Speakers guess the understanding level of the listener from listener's actions and expects the following content. The contents of next dialog are opposition, misunderstandings, corrections, supplements, and etc. Ordinary, after resulting trial and error, both speakers become satisfied situation. But sometimes the dialogue ends without satisfied situation. These dialog processes are represented as changes in dialog content according to the internal state of high -level neural networks related to the reception of time series data.
| Published in | American Journal of Neural Networks and Applications (Volume 8, Issue 2) |
| DOI | 10.11648/j.ajnna.20220802.12 |
| Page(s) | 17-23 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Context Corresponding Neuron layers, Getting Knowledge by Dialogue, Category Theory, Dialog Between Persons, Descriptive World in Brain, Real World in Brain
| [1] | T. Leinster, “Basic Category Theory” Cambridge University Press 2017. |
| [2] | D. C. Dennet, “From Bacteria to Bach and Back: The Evolution of Minds.” In Penguin Books, 2018. |
| [3] | George Johnson, “In the Palaces of Memory”, Vintage Books. |
| [4] | Daniel Evrett, “How Language Began”, Profile Books, 2018. |
| [5] | Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell, “Time series classification with Echo Memory Networks”, Neural Networks 117 (2019) 225-239. |
| [6] | L. Andrew Coward, Ron Sun, “Hierarchical approaches to understanding consciousness”, Neural Networks 20 (2007) 947-954. |
| [7] | Gyorgy Buzsaki, “Rhythms of the Brain”, Oxford University Press, 2006. |
| [8] | Michael S. A. Graziano, “Rethinking consciousness”, Norton, 2021. |
| [9] | T M. Iacoboni, “Mirroring People.” Picador 33. 2008, Chapter 4, p 106. |
| [10] | Hoon Keng Poon, Wun-She Yap, Yee-Kai Tee, Wai-Kong Lee, Bok-Min Goi “Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification”, Neural Networks 119 (2019) 299-312. |
| [11] | W. J. Freeman “How Brains Make up Their Minds” Weidenfeld & Nicolson Ltd. 1999. |
| [12] | Michael j. Healy, Thomas P. Caudill, “Episodic memory: A hierarchy of spatiotemporal concepts”, Neural Networks 120 (2019) 40-57. |
| [13] | Paolo Arena, Marco Cali, Luca Patane, Agnese Portera, Roland Strauss SC, “Modelling the insect Mushroom Bodies: Application to Sequence learning”, Neural Networks 67 (2015) 37-53. |
| [14] | S. Yanagawa, “New Neural Network Corresponding to the Evolution”, American Journal of Neural Networks and Applications, 2021; 7 (1): 1-6. |
| [15] | T. Scott-Philips, "Speaking Our Minds", Palgrave Macmillan, 2015. |
| [16] | Ann Sizemore, Chad Giusti, Ari Kahn, Richard F. Betzel, Danielle S. Bassett “Cliques and Cavities in the Human Connectome”, Cornell University arxiv.org/abs/1608.03520, 2016. |
| [17] | T. E. Feinbdrg, J. M. Mallat, "The Ancient Origins of Consciousness", MIT Press, 2016. |
APA Style
Seisuke Yanagawa. (2022). From Eating Behavior to Dialogue Using Language; Evolution of Neural Network. American Journal of Neural Networks and Applications, 8(2), 17-23. https://doi.org/10.11648/j.ajnna.20220802.12
ACS Style
Seisuke Yanagawa. From Eating Behavior to Dialogue Using Language; Evolution of Neural Network. Am. J. Neural Netw. Appl. 2022, 8(2), 17-23. doi: 10.11648/j.ajnna.20220802.12
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Download@article{10.11648/j.ajnna.20220802.12,
author = {Seisuke Yanagawa},
title = {From Eating Behavior to Dialogue Using Language; Evolution of Neural Network},
journal = {American Journal of Neural Networks and Applications},
volume = {8},
number = {2},
pages = {17-23},
doi = {10.11648/j.ajnna.20220802.12},
url = {https://doi.org/10.11648/j.ajnna.20220802.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20220802.12},
abstract = {In this paper, logic is developed based on the view that the brain nerve circuit is composed of a combination of neural circuits with the same function. The subject of logic is animal's action; from early evolved animals that only perform feeding to more evolved animals that have ability to act as groups. In Chapter 2, reconstructed and outlined the previously published papers described about Basic Unit. Using category theory, Basic Unit is defined as an object in neural network (defined as category). By setting functions between categories, behavior of multiple categories express imitation behavior not only eating behavior. These functions enable collective actions and are the basis of individual communication. Chapter 3 describes the essential functions which human communication make superiority to non-human communication. First, a new neural network is placed on the top level of the existing neural network. The new neural network operates asynchronously with the existing neural network directly involved with the senses and motile organ. Next, a process to share events that are recognized by new neural networks among companions is presented. In other words, dialogue deploys individual knowledge to group knowledge. It is clear that the spreading of knowledge from individuals to groups is one of the most value of language. On dialogue session, there is no guarantee that the listener understands the content with just one explanation of the speaker. Speakers guess the understanding level of the listener from listener's actions and expects the following content. The contents of next dialog are opposition, misunderstandings, corrections, supplements, and etc. Ordinary, after resulting trial and error, both speakers become satisfied situation. But sometimes the dialogue ends without satisfied situation. These dialog processes are represented as changes in dialog content according to the internal state of high -level neural networks related to the reception of time series data.},
year = {2022}
}
TY - JOUR T1 - From Eating Behavior to Dialogue Using Language; Evolution of Neural Network AU - Seisuke Yanagawa Y1 - 2022/12/08 PY - 2022 N1 - https://doi.org/10.11648/j.ajnna.20220802.12 DO - 10.11648/j.ajnna.20220802.12 T2 - American Journal of Neural Networks and Applications JF - American Journal of Neural Networks and Applications JO - American Journal of Neural Networks and Applications SP - 17 EP - 23 PB - Science Publishing Group SN - 2469-7419 UR - https://doi.org/10.11648/j.ajnna.20220802.12 AB - In this paper, logic is developed based on the view that the brain nerve circuit is composed of a combination of neural circuits with the same function. The subject of logic is animal's action; from early evolved animals that only perform feeding to more evolved animals that have ability to act as groups. In Chapter 2, reconstructed and outlined the previously published papers described about Basic Unit. Using category theory, Basic Unit is defined as an object in neural network (defined as category). By setting functions between categories, behavior of multiple categories express imitation behavior not only eating behavior. These functions enable collective actions and are the basis of individual communication. Chapter 3 describes the essential functions which human communication make superiority to non-human communication. First, a new neural network is placed on the top level of the existing neural network. The new neural network operates asynchronously with the existing neural network directly involved with the senses and motile organ. Next, a process to share events that are recognized by new neural networks among companions is presented. In other words, dialogue deploys individual knowledge to group knowledge. It is clear that the spreading of knowledge from individuals to groups is one of the most value of language. On dialogue session, there is no guarantee that the listener understands the content with just one explanation of the speaker. Speakers guess the understanding level of the listener from listener's actions and expects the following content. The contents of next dialog are opposition, misunderstandings, corrections, supplements, and etc. Ordinary, after resulting trial and error, both speakers become satisfied situation. But sometimes the dialogue ends without satisfied situation. These dialog processes are represented as changes in dialog content according to the internal state of high -level neural networks related to the reception of time series data. VL - 8 IS - 2 ER -
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