AI-Project-VacuumEnvironment

An environment to test a vacuum agent, created for the university project of Prof. Milani's Artificial Intelligence course at Department ofMathematicasandComputer Science, University ofPerugia, and inspired from a problem posed by Stuart Russell and Peter Norvig in the book "Artificial Intelligence: A Modern Approach".

Dependencies

You must have kivy installed on your system.

• Download Kivy
• Install Kivy on Windows
• Install kivy on Mac

Run the application

If you have installed all the dependencies, you can run the program with:

# To open the GUI with max 2 Agent (old program)
python aima-ui-2a.py

# To open the GUI with 4 Agent
python aima-ui-4a.py

Add an Agent

You can write your own agent and add it to the environment. The procedure is simply, you have to follow these steps:

• Create a file in agent_dir, for example named MyNewAgent.py
• Add a class named like the file and ended with Class. In this example will be MyNewAgentClass
• Your class have to inherit from Agent class
• Insert your class in the list of imported module in agent_dir/__init__.py

Below we have an example MyAgent.py with some useful details:

from . agents import *


class MyNewAgentClass(Agent):

    def __init__(self, x=2, y=2):
        Agent.__init__(self)

        ##
        # Personalize the identifier of this class.
        # Will be used instead of the class name
        # in neighbours info
        self.name = 'ExampleAgent'

        def program(status, bump, neighbors):
            """Main function of the Agent.

            Params:
                status (string): 'Dirty' or 'Clean'
                bump (string): 'Bump' or 'None'
                neighbors (list of tuples): [
                        ( (agent_id, agent_type), (r_x, r_y) ),
                        ...,
                        ...
                    ]

            Returns:
                 (string): one of these commands:
                            - 'Suck'
                            - 'GoNorth'
                            - 'GoSouth'
                            - 'GoWest'
                            - 'GoEast'
                            - 'NoOp' or 'Noop'

            """
            ##
            # id is assigned by the environment
            # in aima-ui-4a
            print(self.id)
            print(status, bump, neighbors)

            return 'NoOp'


        self.program = program

Contributing

Contributions are welcome, so please feel free to fix bugs, improve things, provide documentation. For anything submit a personal message or fork the project to make a pull request and so on... thanks!

Notes

This library is under development, so there may be substantial changes and improvements in the near future.

This project is based on aima-python for a course of artificial intelligence. In particular, these modules have been modified to meet the new specifications:

• Environment
• Agent
• utils

Contributors

In this section will be mentioned all the people who have contributed to the creation of this program (the list will be in alphabetic order), divided by university department or private groups/people.

University of Perugia, Dept. of Maths and Computer Science, AI 2013-2014:

• Biondi Giulio (student)
• Franzoni Valentina (teaching assistant)
• Milani Alfredo (professor)
• Parcus Robert (student)
• Tracolli Mirco (student, first creation)
• to complete...

License

Creative Common BY-NC-SA: Share Alike, Non Commercial, give Attribution for the credits to the original authors: http://creativecommons.org/licenses/by-nc-sa/4.0/