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Building and developing agent based modelling for higher order logic in neuro symbolic integration.

We will develop agent based modelling (ABM) for doing logic programming and Reverse Analysis method in doing higher order logic programming. Later, we will build another ABM for the upgraded method (integrating Boltzmann machine and Modify Activation Function). Agent-based Modelling (ABM) which also...

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Main Author: Sathasivam, Saratha
Format: Monograph
Published: Universiti Sains Malaysia 2015
Subjects:
QA1-939 Mathematics
Online Access:http://eprints.usm.my/36947/
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spelling my.usm.eprints.36947 http://eprints.usm.my/36947/ Building and developing agent based modelling for higher order logic in neuro symbolic integration. Sathasivam, Saratha QA1-939 Mathematics We will develop agent based modelling (ABM) for doing logic programming and Reverse Analysis method in doing higher order logic programming. Later, we will build another ABM for the upgraded method (integrating Boltzmann machine and Modify Activation Function). Agent-based Modelling (ABM) which also called individual-based modelling is a new computational modelling paradigm which is an analyzing systems that representing the 'agents' that involving and simulating of their interactions. We will test ABM for this upgraded method (higher order logic programming, Hopfield network, Boltzmann machine and activation function in some real life and simulated data sets. We are going to test this method on some constraint optimization problems. Universiti Sains Malaysia 2015 Monograph NonPeerReviewed Sathasivam, Saratha (2015) Building and developing agent based modelling for higher order logic in neuro symbolic integration. Technical Report. Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
topic QA1-939 Mathematics
spellingShingle QA1-939 Mathematics
Sathasivam, Saratha
Building and developing agent based modelling for higher order logic in neuro symbolic integration.
description We will develop agent based modelling (ABM) for doing logic programming and Reverse Analysis method in doing higher order logic programming. Later, we will build another ABM for the upgraded method (integrating Boltzmann machine and Modify Activation Function). Agent-based Modelling (ABM) which also called individual-based modelling is a new computational modelling paradigm which is an analyzing systems that representing the 'agents' that involving and simulating of their interactions. We will test ABM for this upgraded method (higher order logic programming, Hopfield network, Boltzmann machine and activation function in some real life and simulated data sets. We are going to test this method on some constraint optimization problems.
format Monograph
author Sathasivam, Saratha
author_facet Sathasivam, Saratha
author_sort Sathasivam, Saratha
title Building and developing agent based modelling for higher order logic in neuro symbolic integration.
title_short Building and developing agent based modelling for higher order logic in neuro symbolic integration.
title_full Building and developing agent based modelling for higher order logic in neuro symbolic integration.
title_fullStr Building and developing agent based modelling for higher order logic in neuro symbolic integration.
title_full_unstemmed Building and developing agent based modelling for higher order logic in neuro symbolic integration.
title_sort building and developing agent based modelling for higher order logic in neuro symbolic integration.
publisher Universiti Sains Malaysia
publishDate 2015
url http://eprints.usm.my/36947/
_version_ 1643708930055995392
score 13.160551

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