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public:t-720-atai:atai-22:engineering_assignment_2 [2022/10/08 01:13] – [Your Task:] arashpublic:t-720-atai:atai-22:engineering_assignment_2 [2024/04/29 13:33] (current) – external edit 127.0.0.1
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 ====Engineering Assignment 2:==== ====Engineering Assignment 2:====
  
-===== Knowledge Transfer Via OpenNARS for Applications (ONA)=====+===== Knowledge Transfer in OpenNARS for Applications (ONA)=====
  
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 Deriving an applicable behavior from the presence of a property: Deriving an applicable behavior from the presence of a property:
 https://github.com/opennars/OpenNARS-for-Applications/blob/master/examples/nal/door2.nal https://github.com/opennars/OpenNARS-for-Applications/blob/master/examples/nal/door2.nal
- 
-And maybe diagnostics examples: (these will soon also work effectively when there are dozens of properties assigned to each instance) 
-https://github.com/opennars/OpenNARS-for-Applications/blob/master/examples/nal/diagnostic.nal 
  
 A more advanced example, numerical comparison carried out by NARS, with induction of a related behavior: A more advanced example, numerical comparison carried out by NARS, with induction of a related behavior:
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 https://github.com/opennars/OpenNARS-for-Applications/blob/master/examples/nal/greenplant.nal https://github.com/opennars/OpenNARS-for-Applications/blob/master/examples/nal/greenplant.nal
  
-If instead of cases showing the inference capabilities you want an environment where an agent shows knowledge transfer while operating, will soon have more on that. +If instead of cases showing the inference capabilities you want an environment where an agent shows knowledge transfer while operating, the ONA team will soon have more on that. This is something that usually demands goals in a domain to change, or behaviors to learn which generalize to new instances to be shown effectively.
-This is something that usually demands goals in a domain to change, or behaviors to learn which generalize to new instances to be shown effectively.+
 An example here is https://github.com/opennars/OpenNARS-for-Applications/blob/master/examples/nal/example4.nal An example here is https://github.com/opennars/OpenNARS-for-Applications/blob/master/examples/nal/example4.nal
-which corresponds to the following experiment which I initially made work with OpenNARS: https://www.youtube.com/watch?v=e92RV1BBeKU+which corresponds to the following experiment: https://www.youtube.com/watch?v=e92RV1BBeKU
  
 ==== How to build ONA on your system ==== ==== How to build ONA on your system ====
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-==== Your Task: ====+==== Your Tasks ====
  
 Your task is to use the following instructions and what you learn from the above slides and examples in order to create three other examples where the knowledge transfer capability of ONA can be shown and evaluated. Your task is to use the following instructions and what you learn from the above slides and examples in order to create three other examples where the knowledge transfer capability of ONA can be shown and evaluated.
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 Your third task is to write a set of narsese statements that give ONA the names and the relative height of three boys. The names are John, Tom, and Karl. Tom is taller than John, and Karl is taller than Tom. Also, give ONA the knowledge that Tom can play basketball. Now, ask ONA if it can infer whether John and Karl can also play basketball. Your third task is to write a set of narsese statements that give ONA the names and the relative height of three boys. The names are John, Tom, and Karl. Tom is taller than John, and Karl is taller than Tom. Also, give ONA the knowledge that Tom can play basketball. Now, ask ONA if it can infer whether John and Karl can also play basketball.
 How different are the inferred basketball-playing abilities of John and Karl? Do an analysis regarding how ONA's knowledge transfer through comparison can be improved. How different are the inferred basketball-playing abilities of John and Karl? Do an analysis regarding how ONA's knowledge transfer through comparison can be improved.
 +
 +**Note**: Please attach your *.nal files for each task when handing in the assignment.
  
    
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