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MIT License
Copyright (c) 2025 Kundai Farai Sachikonye
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
================================================================================
CONSCIOUSNESS-AWARE COMPUTING LICENSE ADDENDUM
This software implements consciousness-aware virtual machine technology based on
theoretical frameworks developed by Kundai Farai Sachikonye. The following
additional terms apply specifically to the consciousness-related components:
1. S-ENTROPY NAVIGATION TECHNOLOGY
The S-entropy navigation algorithms and tri-dimensional coordinate systems
implemented in this software are based on original research. Users are
encouraged to cite the relevant scientific papers when using this technology
in academic or research contexts.
2. BIOLOGICAL MAXWELL DEMON IMPLEMENTATIONS
The consciousness processing components that implement Biological Maxwell
Demon frame selection are experimental technologies. Users should validate
results independently and understand the theoretical nature of these systems.
3. PURPOSE FRAMEWORK AND COMBINE HARVESTER
The domain-specific learning and knowledge integration frameworks are provided
as implementations of research concepts. Users are responsible for ensuring
appropriate use in their specific domains and compliance with relevant
regulations.
4. SCIENTIFIC ACCURACY
While this software aims to provide scientifically accurate computations,
users are responsible for validating results, especially in critical
applications such as medical diagnosis, legal analysis, or financial decisions.
5. RESEARCH AND DEVELOPMENT
This software is primarily intended for research and development purposes.
Production use should be approached with appropriate caution and testing.
6. ATTRIBUTION
Users who publish research or applications based on this software are
encouraged to cite the relevant publications and acknowledge the theoretical
foundations developed by the author.
7. EXPERIMENTAL FEATURES
Features marked as "experimental" (including meta-consciousness, quantum
S-entropy, and self-modifying consciousness) are theoretical implementations
that should be used only for research purposes.
The consciousness-aware computing components of this software represent novel
approaches to computation and artificial intelligence. Users should approach
these technologies with appropriate scientific rigor and understanding of
their experimental nature.
For questions regarding the theoretical foundations or appropriate citation
of this work, please contact: kundai.sachikonye@wzw.tum.de
================================================================================
THIRD-PARTY LICENSES
This software may include or depend on third-party libraries and frameworks
with their own licenses. Users are responsible for complying with all
applicable third-party licenses. See the documentation and dependency
specifications for details on third-party components.
The theoretical frameworks implemented in this software are based on original
research. The following scientific domains are represented:
- S-Entropy Theory and Tri-Dimensional Navigation
- Consciousness-Level Computing and BMD Frame Selection
- Purpose Framework Domain-Specific Learning
- Combine Harvester Knowledge Integration
- Oscillatory Virtual Machine Architecture
- Biological Quantum Computer Integration
Users should refer to the associated scientific publications for detailed
theoretical background and proper citation guidelines.