Difference between revisions of "Connect Four"
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===java.util=== | ===java.util=== | ||
[https://docs.oracle.com/javase/8/docs/api/java/util/Optional.html class Optional<T>] | [https://docs.oracle.com/javase/8/docs/api/java/util/Optional.html class Optional<T>] | ||
+ | |||
+ | ===java.util.function=== | ||
+ | [https://docs.oracle.com/javase/8/docs/api/java/util/function.ToDoubleFunction.html interface ToDoubleFunction<T>] | ||
+ | [https://docs.oracle.com/javase/8/docs/api/java/util/function.IntPredicate.html interface IntPredicate] | ||
=Code To Implement= | =Code To Implement= |
Revision as of 07:27, 13 February 2020
credit for this assignment: Finn Voichick and Dennis Cosgrove
Motivation
Minimax is an important concept in game theory and search.
Negamax is a variant which relies on
While this technique is applicable to Chess (as Deep Blue employed to defeat Kasparov), we choose Connect Four as our context since it has a simpler game mechanic.
While the core part of searches like Minimax may be easy to parallelize, critical aspects such as alpha-beta pruning are more challenging.
Background
Video
Tutorial
Wikipedia
The Core Questions
- What are the tasks?
- What is the data?
- Is the data mutable?
- If so, how is it shared?
Code To Use
connectfour.core
java.util
java.util.function
interface ToDoubleFunction<T> interface IntPredicate
Code To Implement
Negamax
class: | ConnectFour.java | |
methods: | negamaxKernel selectNextColumn |
|
package: | connectfour.studio | |
source folder: | student/src/main/java |
method: private static double negamaxKernel(Board board, ToDoubleFunction<Board> heuristic, IntPredicate searchAtDepth,
int currentDepth)
(parallel implementation required)
method: public static Optional<Integer> selectNextColumn(Board board, ToDoubleFunction<Board> heuristic, IntPredicate searchAtDepth)
(parallel implementation required)
Win or Lose Heuristic
class: | WinOrLoseHeuristic.java | |
methods: | applyAsDouble | |
package: | connectfour.studio | |
source folder: | student/src/main/java |
method: public double applyAsDouble(Board board)
(sequential implementation only)
Evaluate the current state of the Board. You should return a negative number if you have lost. You should return less negative numbers for losses that occur later.
OpenEndedHeuristic (Optional)
class: | OpenEndedHeuristic.java | |
methods: | applyAsDouble | |
package: | connectfour.challenge | |
source folder: | student/src/main/java |
method: public double applyAsDouble(Board board)
(sequential implementation only)
Testing Your Solution
Correctness
class: | ConnectFourTestSuite.java | |
package: | connnectfour.studio | |
source folder: | testing/src/test/java |
Visualization
class: | ConnectFourViz.java | VIZ |
package: | connnectfour.viz.game | |
source folder: | student/src//java |