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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| Format: | Monograph |
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Universiti Sains Malaysia
2015
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| _version_ | 1825833567243993088 |
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| author | Sathasivam, Saratha |
| author_facet | Sathasivam, Saratha |
| author_sort | Sathasivam, Saratha |
| collection | USM |
| 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. |
| first_indexed | 2024-03-06T15:09:45Z |
| format | Monograph |
| id | usm.eprints-36947 |
| institution | Universiti Sains Malaysia |
| last_indexed | 2024-03-06T15:09:45Z |
| publishDate | 2015 |
| publisher | Universiti Sains Malaysia |
| record_format | dspace |
| spelling | usm.eprints-369472017-10-05T04:10:37Z 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. |
| spellingShingle | QA1-939 Mathematics Sathasivam, Saratha Building and developing agent based modelling for higher order logic in neuro symbolic integration. |
| title | 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_short | 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 |
| topic | QA1-939 Mathematics |
| work_keys_str_mv | AT sathasivamsaratha buildinganddevelopingagentbasedmodellingforhigherorderlogicinneurosymbolicintegration |