/FightingICE

Primary LanguageJava

For the information on the competition from 2022, please see this page.

FightingICE

This repository is a repository for the development of the 2D fighting game FightingICE, which is used in international competitions for fighting game AI performance.

About FightingICE

FightingICE is a 2D fighting game used in the Fighting Game AI Competition (FTGAIC), an international competition that competes for the performance of fighting game AI certified by Computational Intelligence and Games (CIG).

How to start development

  • Clone the project into your local workspace.
  • Download resources required for development from here and extract into the root directory.
  • Add all libraries from lib into your project. (for LWJGL, please add only one native match with your OS)

Important contents

  • data: Directory containing resources used in the game
    • ai: Directory containing AI jar files used in the game (for version 6.0 and later, internal use only)
    • aiData: Directory containing data files required by AI (for version 6.0 and later, internal use only)
    • characters: Directory containing character images and action parameter files
    • graphics: Directory containing graphics such as backgrounds and hadouken
    • sounds: Directory containing background music and sound effects
  • lib: Directory containing libraries required for startup
  • protoc-gen: Directory containing libraries required for generate gRPC code
  • src: Directory containing source code

Java libraries in use

  • grpc: Containing libraries related to gRPC module
    • grpc-api 1.52.1
    • grpc-context 1.52.1
    • grpc-core 1.52.1
    • grpc-netty-shaded 1.52.1
    • grpc-protobuf 1.52.1
    • grpc-protobuf-lite 1.52.1
    • grpc-stub 1.52.1
    • protobuf-java 3.21.12
    • protobuf-java-util 3.21.12
    • protoc-gen-grpc-java 1.53.0 (use for generate gRPC code)
  • lwjgl: Containing libraries related to LWJGL module
    • natives: Containing libraries related to LWJGL module native to many architectures.
      • linux/amd64: for Linux
      • linux/arm64: for Linux with ARM-architecture CPU
      • macos/amd64: for macOS with Intel chip
      • macos/arm64: for macOS with Apple chip
      • windows/amd64: for Windows
      • windows/arm64: for Windows with ARM-architecture CPU
    • lwjgl 3.3.1
    • lwjgl-glfw 3.3.1
    • lwjgl-openal 3.3.1
    • lwjgl-opengl 3.3.1
  • annotations-api 6.0.53
  • failureaccess 1.0.1
  • guava 31.1-jre
  • javax.json 1.0.4
  • lwjgl_util 2.9.3
  • perfmark-api 0.26.0
  • py4j 0.10.4