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--- public:t-713-mers:mers-24:nal-assignment-1 [2024/10/11 11:01] – thorisson
+++ public:t-713-mers:mers-24:nal-assignment-1 [2024/10/18 09:38] (current) – [Your Tasks] thorisson
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-===== Engineering Assignments =====
+===== Engineering Projects =====
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-====NARS Assignment 1====
-===== Knowledge Transfer in OpenNARS for Applications (ONA)=====
+=====NARS Assignment 1: Knowledge Transfer in OpenNARS for Applications (ONA)=====
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 The **aim** of this assignment is to introduce you to a general-purpose AI system, OpenNARS-for-Applications (ONA), and to familiarize you with how ONA transfers and generalizes knowledge.
-==== Introduction to ONA and some examples====
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+==== Intro & Examples====
 ONA is a general machine intelligence (GMI) aspiring system created by Patrick Hammer which is derived from Pei Wang’s Non-Axiomatic Reasoning System (NARS). To interact with ONA (or NARS) the language narsese was developed to feed information to/ receive information from NARS/ ONA). To get a first grasp on narsese (or NAL) please refer to the slides from 2018 by Xiang Li: {{/public:t-720-atai:nars-tutorial.pdf}}.
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 An example here is https://github.com/opennars/OpenNARS-for-Applications/blob/master/examples/nal/example4.nal
 which corresponds to the following experiment: https://www.youtube.com/watch?v=e92RV1BBeKU
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 ==== How to build ONA on your system ====
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 Once you have ONA set up correctly (try the evaluation as explained in the github link) you can get started with the above examples.
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 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.
-**1. Knowledge transfer via shared properties**. Your first task is to write a set of narsese statements that emulate a task-environment where there exist three objects (a sphere, a cube and a cylinder) and a robotic hand that can //grab// the objects. Each object has three different properties including color, weight, and softness. The objects might have shared properties, e.g. both the cube and the sphere can have a blue color. Assign the properties to the objects such that the cube has more similarities to the sphere than to the cylinder. Then, give ONA the causal knowledge that if it //grabs// the cube, the hand will be //holding// the cube. Now, you should ask ONA if the hand can grab (and then hold) the other two objects, i.e. if the hand applies a //grab// operation to the sphere/cylinder whether the hand will be //holding// the sphere/cylinder.
+**1. Knowledge transfer via shared properties** (9%). Your first task is to write a set of NARSese statements that emulate a task-environment where there exist three objects (a sphere, a cube and a cylinder) and a robotic hand that can //grab// the objects. Each object has three different properties including color, weight, and softness. The objects might have shared properties, e.g. both the cube and the sphere can have a blue color. Assign the properties to the objects such that the cube has more similarities to the sphere than to the cylinder. Then, give ONA the causal knowledge that if it //grabs// the cube, the hand will be //holding// the cube. Now, you should ask ONA if the hand can grab (and then hold) the other two objects, i.e. if the hand applies a //grab// operation to the sphere/cylinder whether the hand will be //holding// the sphere/cylinder.
 Now, write your analysis by focusing on how different the two answers created by ONA are, and how the similarity between the objects affects ONA's reasoning and knowledge transfer.
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-**2. Knowledge transfer via identical relations**. Your second task is to write a set of narsese statements that reflects the analogy between the solar system and the Rutherford atom model (see the below figure).
+**2. Knowledge transfer via identical relations** (7%). Your second task is to write a set of narsese statements that reflects the analogy between the solar system and the Rutherford atom model (see the below figure).
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-**3. Knowledge transfer via comparison**.
+**3. Knowledge transfer via comparison** (7%).
-Your third task is to write a set of narsese statements that give ONA the names and the relative height of three girls. The names are Jane, Tina, and Karla. Tina is taller than Jane, and Karla is taller than Tina. Also, give ONA the knowledge that Tina can play basketball. Now, ask ONA if it can infer whether Jane and Karla 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 girls. The names are Jane, Tina, and Karla. Tina is taller than Jane, and Karla is taller than Tina. Also, give ONA the knowledge that Tina can play basketball. Now, ask ONA if it can infer whether Jane and Karla can also play basketball.
 How different are the inferred basketball-playing abilities of Jane and Karla? 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.