This is a Python implementation of GOAP (Goal-Oriented Action Planning), a generic architecture for autonomous AI. GOAPy was written in 2014 and updated in 2019 to work with Python 3. It predates other libraries of the same name and is not to be confused with GOApy. GOAPy is simple in design and can be set up with only a few lines of code.

GOAP is a real-time planning algorithm for autonomous agents (AA). AA are able to create an action planning based on a set of actions available to the AA. The Planner class searches for the correct set of actions from an initial state to it' goal.

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This is a Python implementation of GOAP (Goal-Oriented Action Planning), a generic architecture for autonomous AI. GOAPy was written in 2014 and updated in 2019 to work with Python 3. It predates other libraries of the same name and is not to be confused with GOApy. GOAPy is simple in design and can be set up with only a few lines of code.

GOAP的功能组件大致分为Action，Goal，Memory，Sensor，他们各司其职，构成整个GOAP框架。 Action：它由前提条件（PreCondition）和效果（Effect）组成，一般都是键值对，要执行一个Action，需要先检查前提条件是否满足，然后再把效果内容加入到Memory中（可选）。 例如： Goal：AI的目标，也是包含一个或多个键值对，会以此为基准使用 A*算法 展开路径搜索。 例如： Memory：AI的记忆，更新维护AI所认知的世界状态，偏静态。 例如： {'hasMoney': true}

GOAPy. Version: 0.3.0. Goal-Oriented Action Planning (GOAP) implementation in Python. Introduction. GOAP is a real-time planning algorithm for autonomous agents (AA). AA are able to create an action planning based on a set of actions available to the AA. The Planner class searches for the correct set of actions from an initial state to it' goal.

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Pure-Python implementation of Goal-Oriented Action Planning. - GOAPy/goapy.py at master · flags/GOAPy