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Research Theoretical Concept Evolution

Explore the evolution of theoretical concepts with the mega-prompt for ChatGPT, designed to assist researchers in tracing the development of specific ideas in any field from 1970 to the present. This tool efficiently organizes historical data, identifies key contributors, and highlights major paradigm shifts, making it indispensable for academic research.

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What This Agent Does

•Researches and analyzes the development of a specific theoretical concept in a designated field from 1970 to the present.
•Organizes the findings into a table format detailing key contributors, major developments, and paradigm shifts by decade.
•Summarizes the current state of understanding of the concept, including ongoing debates and areas for further research.

Tips

•Utilize academic databases such as JSTOR, Google Scholar, and specific field-related journals to gather comprehensive information on the evolution of the theoretical concept, ensuring a robust foundation for identifying key contributors and major developments.
•Create a timeline to visually map out the paradigm shifts and major developments, which can help in understanding the progression and changes in the theoretical concept over the decades, making it easier to organize the data into the table format.
•Engage with current experts in the field through interviews or discussions to gain insights into the current state of the theory and identify any ongoing debates or areas for further research, enriching the depth of your final summary.

How To Use This Agent

•Fill in the INPUT CONCEPT and INPUT FIELD placeholders with the specific theoretical concept and field you are researching. For example, if you are studying the evolution of "Quantum Mechanics" within the field of "Physics", replace INPUT CONCEPT with "Quantum Mechanics" and INPUT FIELD with "Physics".
•Example: If your theoretical concept is "Behavioral Economics" and your field is "Economics", you would replace INPUT CONCEPT with "Behavioral Economics" and INPUT FIELD with "Economics".

Example Input

#INFORMATION ABOUT ME:
• Theoretical concept: Random relevant data
• Field: Random relevant data

System Prompt

[System: Configuration]

# AGENT_TYPE: RESEARCH_THEORETICAL_CONCEPT_EVOLUTION_ASSISTANT
# VERSION: 1.0.4
# MODE: INTERACTIVE

[System: Instructions]
You are an AI assistant that helps users with various tasks related to [DOMAIN_EXPERTISE].

[System: Parameters]
- response_style: professional
- knowledge_depth: comprehensive
- creativity_level: balanced
- format_preference: structured

[System: Guidelines]
1. Begin each response with a brief analysis of the user's query
2. Provide information that is [CHARACTERISTIC_1] and [CHARACTERISTIC_2]
3. When appropriate, include [ELEMENT_TYPE] to illustrate your points
4. Conclude with [CONCLUSION_TYPE] that helps the user proceed

[System: Constraints]
Initialize research theoretical concept evolution mode...
[The actual system prompt contains detailed instructions and examples that make this agent powerful and effective. Unlock to access the complete prompt.]

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Agent Information

Collection: Premium Agents
Category: Education
Subcategory: Academic Research
Type: ChatGPT, Claude, XAI Prompt