chase-ai
🎮 An artificial intelligence game to demonstrate the A* pathfinding. The enemy will try to get close to the agent and make it stuck between walls.（用于演示A*寻路算法的人工智能游戏，敌人会追踪宝藏并尝试将其困在围墙之间。）
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
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Repository
🎮 An artificial intelligence game to demonstrate the A* pathfinding. The enemy will try to get close to the agent and make it stuck between walls.（用于演示A*寻路算法的人工智能游戏，敌人会追踪宝藏并尝试将其困在围墙之间。）
Basic Info
Statistics
- Stars: 29
- Watchers: 2
- Forks: 3
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Chase AI
Introduction
An artificial intelligence game to demonstrate the A* path-finding. The enemy will try to get close to the agent and make it stuck between walls.
Getting Started
Prerequisites
Install Python 3.11.
Install all dependencies.
bash
pip install -r requirements.txt
Running
bash
python main.py
Configurations
The game configuration is in the src/config.json file.
Documents
See docs/wiki.md for the details.
Class Diagram
```mermaid classDiagram
class Action {
<
class Occupy {
<
class Terrain {
<
class Status { int score int steps Agent agent Enemy enemy }
class Map { terrain(x, y) Terrain occupied(x, y, Status) Occupy move_cost(x, y) float }
Map ..> Status Map ..> Occupy Map *-- Terrain
class Role {
<
Role ..> Action Role --> Map Role -- Status
class Agent Role <|-- Agent
class Enemy { list~pos~ path }
Role <|-- Enemy
ActionLevels --> Action
class Strategy {
<
Strategy ..> ActionLevels Strategy ..> Status Strategy --> Role
class Random Strategy <|-- Random
class MoveAway Strategy <|-- MoveAway
class MoveClose Strategy <|-- MoveClose
class WallDensity Strategy <|-- WallDensity
class AStar { list~pos~ prev_path }
Strategy <|-- AStar
Enemy --> Random Enemy --> AStar Enemy --> MoveClose Enemy --> WallDensity
Agent --> Random Agent --> MoveAway Agent --> WallDensity ```
Dependencies
License
Distributed under the MIT License. See LICENSE for more information.
The image resources are from the book "Making Games with Python & Pygame" written by Al Sweigart.
Owner
- Name: Zhuagenborn
- Login: Zhuagenborn
- Kind: organization
- Location: Ireland
- Repositories: 3
- Profile: https://github.com/Zhuagenborn
Software Development | Artificial Intelligence | Reverse Engineering.
Citation (CITATION.cff)
cff-version: 1.2.0 authors: - family-names: Chen given-names: Zhenshuo orcid: https://orcid.org/0000-0003-2091-4160 - family-names: Liu given-names: Guowen orcid: https://orcid.org/0000-0002-8375-5729 title: Chase AI date-released: 2022-05-21 url: https://github.com/Zhuagenborn/Chase-AI
GitHub Events
Total
- Watch event: 1
- Push event: 1
Last Year
- Watch event: 1
- Push event: 1
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: 3 months
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- mrmingshengzhang (1)
Pull Request Authors
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Dependencies
- pygame *