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| public:t-622-arti-11-1:lab_2_materials [2011/01/19 15:38] – angelo | public:t-622-arti-11-1:lab_2_materials [2024/04/29 13:33] (current) – external edit 127.0.0.1 |
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| === Lab 2: Comparing Agent Programs (WARNING: work in progress) === | === Lab 2: Comparing Agent Programs === |
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| In this lab session we will finish [[public:t-622-arti-11-1:lab_1_materials|lab 1]] and write a new kind of agent program mantaining a state. | In this lab session we will finish [[public:t-622-arti-11-1:lab_1_materials|lab 1]] and write a new kind of agent program mantaining a state. |
| (defun random-agent-program (agent percept) | (defun random-agent-program (agent percept) |
| </code> | </code> |
| - **Creating an Agent Program having a State**:\\ Fill in the function **RANDOM-AGENT-WITH-STATE-PROGRAM**, found in **agents2.lisp**. This should be the program of an agent that: | - **Creating an Agent Program with a State**:\\ Fill in the function **RANDOM-AGENT-WITH-STATE-PROGRAM**, found in **agents2.lisp**. This should be the program of an agent that: |
| * Uses the **STATE** field of the agent struct to remember what squares has already visited (and eventually cleaned). Remember you can use this field in this way: <code lisp> | * Uses the **STATE** field of the agent struct to remember what squares has already visited (and eventually cleaned). Remember you can use this field in this way: <code lisp> |
| ;; HINT: getting the value of the state field in the agent structure | ;; HINT: getting the value of the state field in the agent structure |
| 1000) | 1000) |
| </code>This will return the **number** of **experiments** performed, and the **average performance value**. | </code>This will return the **number** of **experiments** performed, and the **average performance value**. |
| - **Comparing different agents**:\\ Try different agents (e.g. random-agent-program) and **different performance measures**. Does the agent with state behave better than the others with any particular performance measure? You can add print commands to the experiment functions to get more information about the agents behaviour if you like. | - **Comparing Different Agents**:\\ Try different agents (e.g. random-agent-program) and **different performance measures**. Does the agent with state behave better than the others with any particular performance measure? You can add print commands to the experiment functions to get more information about the agents behaviour if you like. |
| - **Building an Orderly Agent (EXTRA)**:\\ Try to create an agent called **orderly-moving-agent-program** that moves through the environment with some orderly pattern (i.e. from from left to right, then down, right to left, down and so on...). Make sure it visits all the squares and cleans the dirty ones. Is the orderly agent more efficient than the random one? | - **Building an Orderly Agent (EXTRA)**:\\ Try to create an agent called **orderly-moving-agent-program** that moves through the environment with some orderly pattern (i.e. from left to right, then down, right to left, down and so on...). Make sure it visits all the squares and cleans the dirty ones. Is the orderly agent more efficient than the random one? |
