Quick-start guide to deCheem¶
What is the deCheem Explorer?¶
deCheem Explorer is a web-app that uses the deCheem framework to provide the most efficient way for managing beliefs, knowledge and argumentation.
By extending our human limitations to deduction and memory, it allows us to apply a same level logical rigor to philosophical, legal or social science reasoning that has previously only been seen in the field of computing, mathematics and science.
How do I use the deCheem Explorer?¶
The first step of any deCheem exercise is to use the Belief-base editor to build the belief system you want to analyse. You do so by documenting beliefs about relationship between situations in the discussion that you are trying to work on.
Once that’s done, you can use the Explorer to explore the implications of such a belief system in various specific situations. Explores are designed to be specific and independent, allowing one to analyse very specific situations without worrying about any ‘cross-contamination/confusion’ between arguments and situation.
Take a look at this sample deCheem belief-base to find out how deCheem can be used in comparative studies of different belief systems and shows where exactly the disagreement is.
Please click on the Intro section below to learn more about the theory behind deCheem:
- Theory behind deCheem
- User Guide
- deCheem rule writing guide
- Frequently Asked Questions
- What are the most important characteristics to look for in the ideal expert system for managing legal or philosophical knowledge?
- How does deCheem deal with forward and backward chaining?
- What is the best way to phrase a belief?
- How does deCheem represent beliefs about different subjects without using conditional/IF-ELSE statements?
- Do relational databases fulfil the deCheem design principles?
- Do graph databases fulfil the deCheem design principles?
- Do decision-trees fulfil the deCheem design principles?
- Does Prolog fulfil the deCheem design principles?
- Does the Carneades system fulfil the deCheem design principles?
- Why are OWL or RDF-based formats not used for representing beliefs or statements in deCheem?
- Does AceRules fulfil the deCheem design principles?
- What can deCheem not deal with (natively)?
- How do you compartmentalise belief-systems in deCheem?
- Is deCheem a NLP project?
- Why can’t deCheem automatically solve all confusion in conversations?
- Why doesn’t deCheem use any form of weighting?
- Since ‘not good’ is not necessarily ‘bad’, how can things be binary?
- How do you deal with ‘scales of things’ or ‘rankings’ or ‘priorities’.
- How efficient is deCheem in dealing with large numbers of beliefs and arguments?