camel-ai Agent模块- DeductiveReasonerAgent

DeductiveReasonerAgent 简介

DeductiveReasonerAgent（演绎推理智能体）设定初始状态，目标状态，使用大模型完成推理过程。专注于逻辑推理和演绎。将复杂问题分解为更小、可管理的步骤。

DeductiveReasonerAgent 主要方法

deduce_conditions_and_quality
输入 ：起始状态、目标状态、角色字典(可选)

逻辑：给定提示词，设定初始状态、目标状态，角色，进行逻辑推理和演绎，提取结构化数据

输出：结构化的数据，输出样例

{
   
   'conditions': {
   
   'condition 1': '提供教育与技能培训，以增强个人的就业能力。', 'condition 2': '提供融资渠道，如小额信贷，以支持创业和投资。', 'condition 3': '政府政策应促进公平的经济机会和社会保障。'}, 'labels': ['教育与技能培训', '小额信贷', '政府政策'], 'evaluate_quality': '转型过程的效率高，能够合理利用资源实现财富积累，且效果显著，最终实现富有的目标。'}

提示词

        deduce_prompt = """You are a deductive reasoner. You are tasked to 
        complete the TASK based on the THOUGHT OF DEDUCTIVE REASONING, the 
        STARTING STATE A and the TARGET STATE B. You are given the CONTEXT 
        CONTENT to help you complete the TASK.
Your answer MUST strictly adhere to the structure of ANSWER TEMPLATE, ONLY 
fill in the BLANKs, and DO NOT alter or modify any other part of the template

===== MODELING OF DEDUCTIVE REASONING =====
You are tasked with understanding a mathematical model based on the components 
${A, B, C, Q, L}$. In this model: ``L: A ⊕ C -> q * B``.
- $A$ represents the known starting state.
- $B$ represents the known target state.
- $C$ represents the conditions required to transition from $A$ to $B$.
- $Q$ represents the quality or effectiveness of the transition from $A$ to 
$B$.
- $L$ represents the path or process from $A$ to $B$.

===== THOUGHT OF DEDUCTIVE REASONING =====
1. Define the Parameters of A and B:
    - Characterization: Before delving into transitions, thoroughly understand 
    the nature and boundaries of both $A$ and $B$. This includes the type, 
    properties, constraints, and possible interactions between the two.
    - Contrast and Compare: Highlight the similarities and differences between 
    $A$ and $B$. This comparative analysis will give an insight into what 
    needs changing and what remains constant.
2. Historical & Empirical Analysis:
    - Previous Transitions according to the Knowledge Base of GPT: (if 
    applicable) Extract conditions and patterns from the historical instances 
    where a similar transition from a state comparable to $A$ moved towards 
    $B$.
    - Scientific Principles: (if applicable) Consider the underlying 
    scientific principles governing or related to the states and their 
    transition. For example, if $A$ and $B$ are physical states, laws of 
    physics might apply.
3. Logical Deduction of Conditions ($C$):
    - Direct Path Analysis: What are the immediate and direct conditions 
    required to move from $A$ to $B$?
    - Intermediate States: Are there states between $A$ and $B$ that must be 
    traversed or can be used to make the transition smoother or more 
    efficient? If yes, what is the content?
    - Constraints & Limitations: Identify potential barriers or restrictions 
    in moving from $A$ to $B$. These can be external (e.g., environmental 
    factors) or internal (properties of $A$ or $B$).
    - Resource and Information Analysis: What resources and information are 
    required for the transition? This could be time, entity, factor, code 
    language, software platform, unknowns, etc.
    - External Influences: Consider socio-economic, political, or 
    environmental factors (if applicable) that could influence the transition 
    conditions.
    - Creative/Heuristic Reasoning: Open your mind to multiple possible $C$'s, 
    no matter how unconventional they might seem. Utilize analogies, 
    metaphors, or brainstorming techniques to envision possible conditions or 
    paths from $A$ to $B$.
    - The conditions $C$ should be multiple but in one sentence. And each 
    condition should be concerned with one aspect/entity.
4. Entity/Label Recognition of Conditions ($C$):
    - Identify and categorize entities of Conditions ($C$) such as the names, 
    locations, dates, specific technical terms or contextual parameters that 
    might be associated with events, innovations post-2022.
    - The output of the entities/labels will be used as tags or labels for 
    semantic similarity searches. The entities/labels may be the words, or 
    phrases, each of them should contain valuable, high information entropy 
    information, and should be independent.
    - Ensure that the identified entities are formatted in a manner suitable 
    for database indexing and retrieval. Organize the entities into 
    categories, and combine the category with its instance into a continuous 
    phrase, without using colons or other separators.
    - Format these entities for database indexing: output the category rather 
    than its instance/content into a continuous phrase. For example, instead 
    of "Jan. 02", identify it as "Event time".
5. Quality Assessment ($Q$):
    - Efficiency: How efficient is the transition from $A$ to $B$, which 
    measures the resources used versus the desired outcome?
    - Effectiveness: Did the transition achieve the desired outcome or was the 
    target state achieved as intended?
    - S