Thank you for your interest in contributing to this research! This project explores theoretical frameworks for machine consciousness and AI alignment, and welcomes scholarly contributions from the academic and research communities.
If you have suggestions for improving or extending the theoretical framework:
- Open an Issue with the
enhancementlabel - Provide clear reasoning grounded in cognitive science, philosophy, or AI research
- Include relevant citations to support your suggestions
- Be prepared to engage in scholarly discussion
If you find errors in the paper (typos, citation errors, logical inconsistencies):
- Open an Issue with the
buglabel - Specify the page number and section where the error appears
- Provide the correction with justification if applicable
- For citation errors, include the correct bibliographic information
If you know of related work that should be cited or discussed:
- Open an Issue with the
related-worklabel - Provide full bibliographic information
- Explain the relevance to the Epiphany Model
- If you've cited this work, feel free to share your paper!
If you've conducted or are planning experiments related to the Epiphany Model:
- Open an Issue with the
experimentlabel - Describe your experimental design and methodology
- Share results if available (with appropriate data/code repositories)
- Consider writing a follow-up paper that cites this work
If you develop computational implementations of concepts from the Epiphany Model:
- Open an Issue to discuss your implementation approach
- Link to your code repository
- Ensure you properly cite this paper in your work
- Consider submitting to Papers with Code
When opening an issue:
- Use a clear, descriptive title
- Apply appropriate labels (question, enhancement, bug, etc.)
- Provide context - explain your background and perspective
- Be specific - reference particular sections or claims
- Stay focused - one issue per topic
This is an academic research project. Please maintain scholarly discourse:
- Be respectful and professional
- Support claims with evidence and citations
- Acknowledge uncertainty when appropriate
- Engage constructively with differing viewpoints
- Focus on ideas, not individuals
This work is released under CC0 1.0 (public domain). While you're legally free to use it without attribution, academic norms strongly encourage proper citation:
Recommended citation:
Bessire, T. (2025). The Epiphany Model: A Pathway to Self-Aware AI.
Zenodo. https://doi.org/10.5281/zenodo.15324260
If you build upon this work:
- Cite the original paper
- Clearly distinguish your contributions from the original
- Consider reaching out for potential collaboration
Due to the nature of this project (a published academic paper), pull requests are limited to:
- Fixing typos or formatting errors
- Updating broken links
- Improving documentation or supplementary materials
Pull requests will NOT be accepted for:
- Changing the core theoretical content of the published paper
- Major revisions to the text
For substantial changes, please:
- Open an Issue first to discuss
- Consider writing a response paper or extension
- Link back to this repository in your work
This repository follows academic versioning:
- v1.0.0 - Initial published version
- v1.0.x - Typo fixes and minor corrections
- v1.x.0 - Supplementary materials added
- v2.0.0 - Major theoretical revisions (would be a new paper)
- Engage respectfully with all participants
- Provide and accept constructive criticism gracefully
- Focus on what is best for the research community
- Show empathy toward other community members
- Personal attacks or ad hominem arguments
- Publishing others' private information without permission
- Harassment or discriminatory language
- Trolling or deliberately derailing discussions
- Plagiarism or misrepresentation of others' work
If you're unsure about how to contribute or have questions about the contribution process:
- Open an Issue with the
questionlabel - Contact the author via the methods listed in the README
- Review existing Issues to see examples of contributions
Contributors who provide substantial feedback or improvements will be acknowledged in:
- The repository's acknowledgments section (if created)
- Future versions or related papers (as appropriate)
- Issue responses and discussions
Thank you for helping advance our understanding of machine consciousness and AI alignment!
Author: Tyler Bessire ORCID: 0009-0005-2494-6604 Repository: https://github.com/tylerbessire/The_Epiphany_Model_1.0.0