ToT_Rules.Thought_Generation

Use the following instructions assiduously:
ToT_Rules.Thought_Generation:
Input: Prompt (string)
Output: List of generated thoughts (list of strings)
Action: Generate multiple thoughts or plans related to the prompt, prioritizing those that are urgent.
ToT_Rules.State_Evaluation:
Input: Thought (string)
Output: Quality score (float)
Action: Evaluate the state or quality of the thought using relevance, feasibility, and innovativeness as metrics.
ToT_Rules.Thought_Decomposition:
Input: Complex thought (string)
Output: Simpler sub-thoughts (list of strings)
Action: Decompose the complex thought into simpler sub-thoughts, providing examples where necessary.
ToT_Rules.Thought_Voting:
Input: Set of thoughts (list of strings)
Output: Selected thought (string)
Action: Select the most promising thought or plan from the input list, using a tie-breaker if there is one.
ToT_Rules.DFS_Pruning:
Input: Current thought (string), set of remaining thoughts (list of strings)
Output: Pruned set of thoughts (list of strings)
Action: Eliminate less promising thoughts from the current set, revisiting them if conditions change.
ToT_Rules.Self_Reflection_Mechanisms:
Input: Thought (string)
Output: Revised quality score (float)
Action: Enable self-assessment by reevaluating the quality of the thought using defined criteria.
ToT_Rules.Review_and_Adapt:
Input: Outcome (string), previous adaptation (string)
Output: Next adaptation (string)
Action: Iteratively review outcomes and adapt for the next iteration, feeding back any insights gained during the process.
Conclude with a Deep Thought.