Six State Logic (6SL) makes universal translation between humans and machines possible and practical. 6SL is a unique communication and logic system that answers positive and negative questions with a Known Positive, Known Negative, Uncertain or intermediate Seems Positive, Seems Negative, or Mixed state selections along with a free form text reason why. Please see my YouTube Channel for more information about Six State Logic applications ranging from simple surveys to sophisticated networks of human-preference driven, machine agent interactions.
For the universal translation application, 6SL’s exclusive use of positive or negative format questions simplifies the translation of questions between languages to a simple phrase match search. For example the phrase “Are you hungry?” is easily translated into any human language. 6SL use of one of the six color coded states as an answer to any positive or negative format question is by definition language independent and typically results in an immediately actionable response.
The benefit of using 6SL answers to positive and negative questions comes from the qualification of uncertainty inherent in the six state choice instead of trying to have a bilingual natural language dialog about uncertainty. This 6SL benefit includes knowing that Known Positive, Known Negative, and Known Mixed states are certain as much as knowing the Uncertain, Seems Positive, and Seems negative states are uncertain. In other words, 6SL helps people that speak difference languages avoid the difficult translation task of questioning into another person’s “Yes” answer to see if it really means “Yes and ready to act now” (Known Positive), “Probably Yes depending on something else” (Seems Positive), or “Yes but I am just as likely to say No” (Mixed).
Consider the example of an English only speaker asking a Chinese person if they are hungry. A common smart phone app can recognized the question phrase and say the equivalent question in Chinese. If the answer is “Seems Positive” which means they are considering eating, but are also open to additional information to make sure, then offering the Chinese person a menu and asking them if there is anything they want to order now would be a reasonable action. If they choose an item with a Known Positive answer then the 6SL universal translation session between these English and Chinese speakers is complete.
In cases where more information about the reason for a 6SL response is required, a phrase matching translator can once again look up standard phrases that are specific to the justification for each 6SL response. For example, justification phrases for a Known Negative answer to the question “Are you hungry?” could be “I just ate”, “I have special dietary requirements”, etc.. The fact that 6SL choice justifications fall into one of six categories makes phrase match translation of answer details more meaningful and easy to translate.
In addition to enabling human translation between natural languages, 6SL universal translation also enables humans and machines to interact similarly. Consider the above with a vending machine asking “Are you hungry?” The 6SL interaction between parties follows that exact same 6SL question and response method when pursued by machines or people. In this sense, 6SL truly enables universal translation by helping humans communicate with other humans or machines and lastly by helping machines communication with other machines quickly and in a way that humans understand.