AI课的入门作业，熟悉IDE的用法，编写BFS和DFS两个经典算法。
Overview
This initial programming assignment has two primary learning goals. First, the
assignment will provide you with an opportunity to refresh your knowledge of
Java program generation in the Eclipse integrated development environment
(IDE) that will be used throughout this course. In this way, this assignment
will provide practice in some of the fundamental skills that will be needed to
successfully complete future programming assignments. Second, this assignment
will provide you with experience in implementing basic uninformed search
algorithms, namely breadth-first search and depth-first search. A solid
understanding of these basic approaches to search will form an important
foundation for knowledge of the more advanced techniques to be covered in this
class.
In summary, you will implement both breadth-first search and depth-first
search algorithms in Java in the context of a simple shortest-path map search
problem. These implementations will also support the optional checking for
repeated states during search.
Submission for Evaluation
To complete this assignment, you must generate two Java class files:
BFSearch.java and DFSearch.java. The first of these files should implement a
breadth-first search algorithm, and the second should implement a depth-first
search algorithm, as described below. These are the only two files that you
should submit for evaluation.
To submit your completed assignment for evaluation, log onto the class site on
CatCourses and navigate to the “Assignments” section. Then, locate
“Programming Assignment #0” and select the option to submit your solution for
this assignment. Provide your two program files as two separate attachments.
Do not upload any other files as part of this submission. Comments to the
teaching team should appear as header comments in your Java source code files.
Activities
You are to provide a Java class that implements the breadth-first search
algorithm and another that implements the depth-first search algorithm. Your
provided Java source code must be compatible with a collection of provided
Java classes that implement simple road maps, allowing your search algorithms
to be used to find the shortest routes between locations on such maps. Indeed,
your assignment solution will be evaluated by combining your submitted class
files with copies of the provided map utility class files and testing the
resulting complete program against a variety of test cases. In other words,
your solution must work with the provided utilities, without any modifications
to these provided files.
More specifically, you are to provide a class called BFSearch in a source code
file named “BFSearch.java”, and you are to provide a class called DFSearch in
a source code file named “DFSearch.java”. The first of these classes is to
implement a breadth-first search algorithm, and the second is to implement a
depth-first search algorithm. Both classes must have the following features.
- a constructor that takes four arguments:
- a complete Map object, encoding the map to be searched
- a String providing the name of the starting location
- a String providing the name of the destination location
- an integer depth limit for the search - if this depth is ever reached during a search (i.e., a node at this depth or deeper is considered for expansion), the search should be completely abandoned and null (indicating search failure) should be returned
- a method that actually performs the search, called search, with the following properties:
- it takes a single boolean argument - if this argument is “true”, then repeated state checking should be performed, otherwise no such checking should be done during search
- it returns a Waypoint object from the search tree that corresponds to the target destination, or null if no solution was found
- a public integer instance variable called expansionCount that contains the number of node expansions performed during the last call to the search method
In general, your classes should allow the main method in the provided Pzero
class to output correct solutions (including path cost and expansion count
statistics) for any map search problem provided as input to it. Note that this
means that the member functions of classes that you implement should write no
output to the standard output stream, as this will clutter the output produced
by the Pzero class main method. If you include any statements that write
output in your code (perhaps as tools for debugging) these should be removed
prior to submitting your code files for evaluation. Your submitted solution
may be marked down if it produces extraneous output.
The Java utility classes that you are required to use are provided in a ZIP
archive file called “PA0.zip” which is available in the “Assignments” section
of the class CatCourses site, under “Programming Assignment #0”. These
utilities include: - Location - This object encodes a location on the map. It is a “state” in the “state space” to be searched.
- Road - This object encodes a road segment from one location to another. Each Location records all of the road segments leading away from that location. This list of Road objects provides the “successor function” result for each “state”.
- Map - This object gathers together all of the Location objects on the map. It provides utilities for reading map descriptions from files.
- Waypoint - This object encodes a “node” in the search tree. Each Waypoint represents a Location in the context of a particular path from the starting point.
- Frontier - This object provides a simple implementation of queues and stacks containing Waypoint objects. This can be used to keep track of the nodes in a search tree’s “frontier” or “fringe”.
- Pzero - This object provides a top-level driver that tests both breadth-first search and depth-first search, with repeated state checking both turned on and turned off. Your code must allow Pzero to produce correct output.
The contents of these Java utility files will be discussed during a course
laboratory session, and inline comments in these files should assist in your
understanding of the provided code. Questions are welcome, however, and should
be directed to the teaching team.
Your implementations of both breadth-first search and depth-first search
should make use of the general search algorithm presented as “GRAPH-SEARCH” in
the course textbook, Russell & Norvig (2010). Specifically, your code must
test for goal attainment just prior to expanding a node (not just prior to
insertion into the frontier), and repeated state checking must be performed as
nodes are inserted into the frontier (not upon removal from the frontier).
When repeated state checking is being done, a child node should be discarded
if its state matches that of a previously expanded node or of a node currently
in the frontier. Finally, note that the “GRAPH-SEARCH” algorithm will require
a slight modification to allow for the disabling of repeated state checking,
based on the boolean argument provided to the search function.
Your submission will be evaluated primarily for accuracy, with efficiency
being a secondary consideration. Your source code will be examined, however,
and the readability and style of your implementation will have a substantial
influence on how your assignment is evaluated. As a rough rule of thumb,
consider the use of good software writing practices as accounting for
approximately 10% to 20% of the value of this exercise. Note also that, as
discussed in the course syllabus, submissions that fail to successfully
compile under the laboratory Eclipse Java IDE (i.e., they produce “build
errors”) will not be evaluated and will receive no credit.
As for all assignments in this class, submitted solutions should reflect the
understanding and effort of the individual student making the submission. Not
a single line of computer code should be shared between course participants.
If there is ever any doubt concerning the propriety of a given interaction, it
is the student’s responsibility to approach the instructor and clarify the
situation prior to the submission of work results. Also, helpful conversations
with fellow students, or any other person (including members of the teaching
team), should be explicitly mentioned in submitted assignments (e.g., in
comments in the submitted source code files). Failure to appropriately cite
sources is called plagiarism, and it will not be tolerated!
The members of the teaching team stand ready to help you with the learning
process embodied by this assignment. Please do not hesitate to request their
assistance.
