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-[[public:t-720-atai:atai-21:main|ATAI-21 Main]]
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-====ATAI-21 Reykjavik University====
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-======Final Project======
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-====Description====
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-For the final project you are asked to implement **//your own original task//** into the TestChamber (see linkg to the Introduction for the Final Project below), implemented by you and your collborator.
-  * [[/public:t-720-atai:atai-21:final_project|NARS Introduction for Final Project]]
-Your task must have:\\
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-  - A **causal chain** with a length of at least three (3) steps (e.g. three out of: get a key, open door, activate switch, bake pizza, eat pizza).
-  - **At least TWO solutions** that are:
-    - independent of each other, i.e. mutually exclusive
-    - include some different objects that need to be handled by NARS
-    - composed of least three (3) steps of causal chains
-  - At least one **own object** that is included in the task (e.g. WireCutter to stop active wires):
-    - For this you might have to include a new Action Operator for NARS
-    - You might have to change parts of the existing code to include the new actions and objects
-  - An **own set of predefined knowledge** which can be loaded in the GUI to realise NARS solving the task. (Add a new “knoMenu” to the EditorPanel.java file in the grid2d folder of the opennars-lab source code which includes knowledge of the new object and/ or additional information which can be useful for NARS) **You can use this set of predefined knowledge to teach NARS about the different causalities instead of forcing actions repeatedly**
-  - A “training scenario” must be provided in which NARS learns about the single causal connection (e.g. Key->Door and switch->oven and oven->pizza) **independently**, such that it can learn before trying to complete the full task by trying things - or being shown - in the training room.
-Write a report on your findings (max. 5 pages + appendix). For this you can choose to focus on one or both of the following:
-  - Analyze the **abduction** of NARS to abduct causal chains from single causal connections. Some questions that you may want to answer with respect to that might include:
-    - What role, if any, does abduction play in NARS’ behavior?
-    - What are the abduction mechanisms that NARS is deploying?
-    - Is there a limit to the abduction abilities of NARS (e.g. length of causal chain)?
-  - Analyze the **induction** of NARS to generate new rules which result in the possibility to solve a novel task. Some questions that you may want to answer with respect to that might include:
-    - What role, if any, does induction play in NARS’ behavior?
-    - What might be the limits of NARS’ induction in this world? Is it limited in some way (by the reasoning methods of NARS or the task-environment)?
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-//EOF//