[[public:t-720-atai:atai-20:main|ATAI-20 Main]]
\\

====ATAI-20 Reykjavik University====

\\
\\
======Final Project======
\\
====Description====

\\

For the final project you are asked to implement **//your own original task//** into the TestChamber (see [[/public:t-720-atai:atai-20:final_project|Introduction]] to the Final Project), implemented by you and your collborator. 

Your task must have:\\
\\

  - A **causal chain** with a length of at least 3 (E.g. Get the Key, open the door, activate the switch, bake some pizza, eat the pizza) - If you already have done more than 3 or feel like you have enough time to do more you can do so, everything over 3 will give you bonus points.
  - **Multiple solutions** independent of each other:
    - at least two of them must be mutually exclusive
    - at least two of them must include different objects that need to be handled by NARS
    - at least two of them must have a causal chain of at least 5
  - 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’ behaviour?
    - 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)?