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Player control Python code through AI probabilistic method

Problem

Imagine that you are part of a team writing a new game “Mean Arena”. Your job is to write code to

control a character, who we will call “Tallon”. The Arena is populated by monsters, called “Blue

Meanies”, and is filled with sludge pits and bonus stations. Tallon’s objective is to survive for as long as

possible, collecting bonuses, and avoiding both the pits and the Blue Meanies: if Tallon encounters either

a pit or a Meanie they will immediately die and the game ends. To complicate matters, the number of

Meanies increases over time --- every few seconds another Meanie spawns in the Arena.

You will be provided with Python code that implements the Mean Arena (including Meanies, pits and

bonus stations) and which provides an API that allows Tallon to move, and provides information on the

location of pits, bonus stations and Meanies as well as Tallon themself. Note that Tallon’s movement is

non-deterministic, so that they do not always manage to move in the direction that they wish to.

You should:

a) Provide control code for Tallon that allows them to navigate the Arena for as long as possible

when the dungeon is fully observable, meaning that Tallon can see everything in the Arena.

b) Provide control code for Tallon that allows them to navigate the Arena for as long as possible

when the dungeon is partially observable, meaning that Tallon cannot see everything in the

Arena. They can only see objects within a certain distance.

The solution to a) and b) may be the same piece of code, or two separate pieces of code, the

choice is yours.

c) Evaluate the performance of your code for a range of values of the size of the Arena, the

numbers of pits and bonus stations, and the speed with which the Meanies spawn.

Note that your solutions(s) to a) and b) should be AI methods (see the marking criteria), and that you

need to justify your choices in the report. The report should also include your evaluation, justify the

choices that you made in your evaluation, and state what conclusions you can draw about your solution

from your evaluation

Kemahiran: Python, Kecerdasan Buatan, Penulisan Laporan

Tentang Majikan:
( 0 ulasan ) Lincoln, United Kingdom

ID Projek: #32771105

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