Fix shape mismatch in HOT model

[devin-ai-integration]

Pull Request: Fix Test Failures and Integrate Advanced Thinking Algorithms

Summary

This pull request addresses several key areas in the NeuroFlex project:

1. Fixes for Test Failures:

   • Resolved shape mismatches and tensor dimension issues in the CDSTDP model.
   • Updated the generate method in generative_ai.py to handle output tensor dimensions correctly, resolving an IndexError.
   • Ensured all inputs in multi_modal_learning.py are float tensors to prevent type errors.
   • Adjusted test conditions in test_multi_modal_learning.py to ensure correct performance logic.

2. Integration of Advanced Thinking Algorithms:

   • Implemented reinforcement learning with causal reasoning, meta-learning, and hierarchical models in advanced_thinking.py.
   • Added self-supervised learning, chain-of-thought reasoning, neuro-symbolic systems, Bayesian networks, and cognitive architectures with working memory.

3. Updates to Generative AI Model:

   • Enhanced the GenerativeAIModel class to support text-to-text generation using transformer architectures.
   • Added a generate method for text-to-text generation.

Testing

• All tests have been run using pytest, and all tests passed successfully.
• New tests have been added for the implemented features to ensure their correctness and stability.

Additional Notes

• The browsing researcher agent has been implemented in browsing_researcher_agent.py.
• The pull request includes updates to the following files:
  • NeuroFlex/cognitive_architectures/advanced_thinking.py
  • NeuroFlex/generative_models/generative_ai.py
  • tests/cognitive_architectures/test_advanced_thinking.py
  • tests/test_generative_ai.py
  • NeuroFlex/advanced_models/multi_modal_learning.py
  • tests/advanced_models/test_multi_modal_learning.py

Please review the changes and provide feedback or approval for merging.

This Devin run was requested by kasinadhsarma.