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第四十六章 认知决策引擎源码实现WSaiOS Cognitive Decision Engine

作者:wsp188 | 发布时间:2026-07-22 11:22 | 分类:《WSaiOS 人工认知智能理论与工程体系》

第四十六章

WSaiOS Cognitive Decision Engine认知决策引擎源码实现

46.7 Cognitive Decision Engine Runtime Integration运行时集成源码实现

在46.6节中,我们完成:

  • Action Model;
  • Action Mapping;
  • Tool Binding;
  • Command Generation;
  • Action Validation;
  • Agent Dispatch。

此时WSaiOS已经具备:

Goal

↓

State

↓

Planning

↓

Utility

↓

Risk

↓

Action

但是,一个操作系统级认知引擎必须进入Runtime体系。

因为:

Decision Engine不能独立运行,它必须成为WSaiOS Runtime中的认知服务。

因此本节实现:

Cognitive Decision Runtime Integration

决策引擎运行时集成


46.7.1 Decision Runtime定位

Decision Runtime负责:

将Cognitive Decision Engine注册到WSaiOS Runtime。

提供:

  • 生命周期管理;
  • 事件监听;
  • 请求处理;
  • 决策执行;
  • Feedback接收。

架构:

                 WSaiOS Kernel


                      │


                      ▼


               Runtime Manager


                      │


        ┌─────────────┼─────────────┐


        ▼             ▼             ▼


 Feedback        Decision       Execution


 Engine          Runtime       Engine


                      │


                      ▼


             Cognitive Decision Engine


46.7.2 Runtime Service职责

Decision Runtime包含:


1. Service Lifecycle

生命周期管理:

Start

↓

Running

↓

Stop

2. Decision Request Handler

接收:

决策请求。


3. Context Loader

加载:

状态、知识、记忆。


4. Decision Executor

执行:

决策流程。


5. Feedback Listener

接收:

执行反馈。


46.7.3 Runtime目录结构

新增:

decision_engine/


├── runtime/


│


├── service.py


├── handler.py


├── context.py


├── listener.py


├── event.py


└── registry.py

46.7.4 Decision Runtime Service

文件:

runtime/service.py

源码:

class DecisionRuntimeService:



    def __init__(self):


        self.engine=None


        self.status="created"



    def initialize(
        self,
        engine
    ):


        self.engine=engine


        self.status="ready"



    def start(self):


        self.status="running"



    def stop(self):


        self.status="stopped"

启动:

service.start()

输出:

Decision Runtime Started

46.7.5 Decision Request模型

文件:

runtime/event.py

源码:

class DecisionRequest:



    def __init__(
        self,
        goal,
        context=None
    ):


        self.goal=goal


        self.context=context or {}

示例:

{

"goal":

"Improve Performance",


"context":

{

"cpu":

90

}

}

46.7.6 Decision Handler请求处理

文件:

runtime/handler.py

源码:

class DecisionHandler:



    def __init__(
        self,
        engine
    ):


        self.engine=engine



    def handle(
        self,
        request
    ):


        return self.engine.decide(

            request.goal

        )

调用:

handler.handle(

request

)

返回:

{

"action":

"Optimize Cache"

}

46.7.7 Context Loader上下文加载器

Decision需要:

加载:

  • State;
  • Memory;
  • Knowledge。

文件:

runtime/context.py

源码:

class DecisionContextLoader:



    def load(self):


        return {


        "state":

        {},


        "memory":

        {},


        "knowledge":

        {}

        }

完整上下文:

{

"state":

{

"cpu":

80

},


"memory":

{

"history":

[]

}

}

46.7.8 Event Bus集成

Decision Engine通过:

Event Bus通信。


事件:

Decision Requested

Decision Completed

Decision Failed

事件流:


Runtime Event Bus


        │


        ▼


Decision Runtime


        │


        ▼


Decision Engine


        │


        ▼


Execution Engine

事件模型:

class DecisionEvent:



    def __init__(
        self,
        type,
        data
    ):


        self.type=type


        self.data=data

发布:

event_bus.publish(

DecisionEvent

)

46.7.9 Decision Lifecycle

一次完整决策:

Request


  ↓


Context Load


  ↓


Goal Analysis


  ↓


Planning


  ↓


Utility Evaluation


  ↓


Risk Assessment


  ↓


Action Generation


  ↓


Execution


  ↓


Feedback

46.7.10 Feedback Loop连接

执行完成:

Execution Engine:

返回:

{

"action":

"Optimize Cache",


"result":

"success"

}

进入:

Feedback Engine。

流程:


Execution Result


        ↓


Feedback Engine


        ↓


Decision Memory


        ↓


Utility Update


        ↓


Future Decision

46.7.11 Decision Memory设计

保存:

历史决策。

目录:

decision_engine/


memory/


├── store.py


└── history.py

源码:

class DecisionMemory:



    def __init__(self):


        self.records=[]



    def save(
        self,
        decision
    ):


        self.records.append(

        decision

        )



    def query(self):


        return self.records

保存:

memory.save(

decision

)

46.7.12 Runtime Registry注册

WSaiOS启动:

注册:

runtime.register(

"decision",

DecisionRuntimeService()

)

Runtime结构:

Runtime Registry


├── Feedback Service


├── Knowledge Service


├── Learning Service


├── Decision Service


└── Execution Service

46.7.13 完整运行示例

输入:

系统运行缓慢

Runtime:

接收:

Decision Request

流程:


Goal Analyzer

↓

State Manager

↓

Knowledge Query

↓

Planning

↓

Utility

↓

Risk

↓

Action

↓

Execution

↓

Feedback

输出:

{

"decision":

"Optimize Cache",


"utility":

0.82,


"risk":

0.1,


"status":

"executed"

}

46.7.14 Cognitive Decision闭环架构

最终:


             WSaiOS Cognitive OS


                     │


                 Runtime


                     │


        ┌────────────┴────────────┐


        ▼                         ▼


 Knowledge Network          Feedback Engine


        │                         │


        ▼                         │


 Reasoning Engine               │


        │                         │


        ▼                         │


 Decision Engine ◄───────────────┘


        │


        ▼


 Action Engine


        │


        ▼


 Execution Engine


46.7.15 工程特点

1. Runtime原生服务

Decision Engine成为OS能力。


2. 事件驱动

模块松耦合。


3. 闭环优化

通过Feedback持续提升。


4. 可扩展Agent体系

支持:

Multi-Agent Decision。


46.7 本节总结

完成:

Cognitive Decision Engine Runtime Integration

实现:

✅ Decision Runtime Service
✅ Request Handler
✅ Context Loader
✅ Event Bus Integration
✅ Decision Lifecycle
✅ Feedback Loop
✅ Decision Memory
✅ Runtime Registry

当前第四十六章进度:

46.1 Decision Engine Architecture       ✅

46.2 Decision State Model               ✅

46.3 Utility Evaluation Engine          ✅

46.4 Decision Planning Engine           ✅

46.5 Risk Assessment Engine             ✅

46.6 Action Generation Engine            ✅

46.7 Runtime Integration                ✅

下一节:

46.8 Cognitive Decision Engine完整源码整合与测试

重点:

  • 工程目录整合;
  • Decision流程测试;
  • Planning测试;
  • Utility测试;
  • Risk测试;
  • Action执行测试;
  • Feedback闭环测试;
  • WSaiOS Cognitive Decision Engine v1.0完成。

进入:

决策引擎最终工程化阶段。

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