The Code of Hammurabi (left), ~1754 BC, and digital rain (right), the computer code featured in The Matrix series, ~2000 AD. Composite by Laura Taylor. 
The Zeroth Chapter
There is Book of Satoshi . You know that? It is even for sale on Amazon. :)
''Here is a phenomenal book which contains the complete collected writings of everything Satoshi ever posted about bitcoin."
A thesaurus  of all the public writings by the very Blockchain creator - the pseudonimous Satoshi Nakamoto .
Still unexcelled by anything so far! For almost an entire decade - of our fast time, guys! - corresponding to a full millennium of the previous doubling rate mode, and to a quarter million years before that, or to 30 MYs  in prehuman time - as measured in Hanson units  or in log-scale man-years !! It took about as much to decode all the human genome !
''Impressive. Most impressive ''.
The First Book of the Crypto Bible. :)
We witness , literally in real time, the powerful coalescence of the Second Book. The Book of Ohad .
Leaving the pompous tone behind ... maybe driven initially from attempt to compensate the anxiety of the heavy official responsibility - I have the honor and pleasure to face the highly non-trivial task to do Exegesis  of the following three milestone documents of Ohad Asor:
A. ''The New Tau'' (Dec 30, 2017, 3:27 PM [updated Dec 30, 2017, 3:28 PM] by Ohad Asor) 
B. ''From Agoras to TML'' (Mar 13, 2018, 2:30 AM [updated Mar 13, 2018, 3:01 AM] by Ohad Asor) 
C. ''The Art of Self-Reference'' (May 27, 2018, 2:09 PM [updated May 27, 2018, 2:13 PM] by Ohad Asor) 
1610s, "explanatory note," from Greek exegesis "explanation, interpretation," from exegeisthai" explain, interpret," from ex "out" (see ex- ) + hegeisthai "to lead, guide," from PIE root *sag- "to track down, seek out" (see seek (v.)). Meaning "exposition (of Scripture)" is from 1823. Related: Exegetic; exegetical; exegetically.
Scary, ah? Isn't it?
This exercise is not meant to merely translate from Ohadian English into Karovian English - nothing simplifying and depleting like that. :)
It is aimed towards increasing understanding via something ... lets call it explanatory interferometry . A meaning zoom-in technique.
The method chosen is to put emphasis on the main points of the three texts above by extracting them into few dozens of explanatory Chapters. Plus careful selection of tutorial materials as provided resources.
No, Ohad will not control or edit me, but the reward is that if I make it, these Exegetic articles will enter the official Tau website blog.
Wish me luck!
And because ''Tau is discussion about Tau'' - I strongly rely upon your support. Your comments. Lets talk it over, lets argue! - nothing is more meaning revealing, i.e. growing the shared understanding, than a really good conversation.
The periodics? I intend to be beaming the episodes of the Exegesis series on the Mondays. Stay tuned!
Tau Chain vs. Tezos - which platform will provide a better solution? By Isar Flis. Posted on Steemit. February 10, 2018.
In this article I would like to discuss the self-amending feature of Tau Chain (Tau), which I believe provides a better solution than the one proposed by Tezos.
A short summary about Tau
Tau will be a blockchain based computer network, aimed at supporting collaboration between people. It will be designed like any other social network you know (Facebook, Twitter, etc.); but on Tau, users can interact with each other using machine-comprehensible languages. Specifically, advanced users will be able to define new knowledge-representation languages simply by translating it to Tau’s metalanguage (TML). As the languages use logic, they will be understandable by both machines and humans.
Since Tau can “understand” the entire conversation, it can also translate the discussions into various languages and discover where people agree or disagree; then, it may present the content of the conversation in different forms (languages or formats) for each user, based on specific requests.
The ability of Tau to logically understand discussions (as it will be translated into its TML) will assist users in four important ways:
*For further information about Tau, please refer to my previous article, explaining Tau and its four-step roadmap.
“Tau, is a discussion about Tau”
Tau is a social platform that will assist users with writing and amending code based on users' discussions about a computer program. But Tau is a computer program by itself. Therefore, by discussing Tau, users will be able to amend Tau, whenever they (the community) reach an agreement about changing Tau’s protocol.
When Ohad Asor, the founder and developer of Tau Chain, mentioned that “Tau, is a discussion about Tau”, he meant that Tau is what the community decides when they discuss Tau. Meaning, when the community will face a decision, such as what Tau’s block size should be, they will just need to express their opinions and perspectives, like we do today in the social networks. Tau will organize the conversation in an efficient way to promote a solution that will represent what the community desires. As such, Tau will be the only dynamic decentralized social network.
Why is Tezos developing only a short-term solution?
You probably remember Tezos as one of the biggest ICOs in history, when they raised $232 million (when BTC price was ~$2,500). Like Tau, Tezos is also a dynamic protocol that can change itself based on users' agreements. Tezos considers voting to be the optimal solution to reach a decision between users.
Voting is a good method to include a large number of people in the decision-making process; however, voters have limited influence, as they can only choose between a few solutions/options presented to them. Who will decide when and why the community will vote? Who will decide what solutions the community can vote for? Tezos’ solution is still centralized and is only viable in the short-run. What will happen if some users do not agree with a specific vote? Does that mean that a Tezos fork is inevitable?
Without considering the perspectives of the entire community, we will not be able to reach a decentralized decision that benefits all users. Tau’s ability to scale discussions is the only decentralized solution to create a true dynamic protocol. Tau will enable all users to express their opinions by just discussing or communicating their views. Users will decide when and what to discuss, and Tau will change its protocol based on users' agreements. Thus, Tau will be able utilize all data in the decision-making process; data that is usually wasted when holding a vote.
To make it more tangible, think about the difference between discussing with your family which movie you’re going to watch and receiving a list of two movies to choose from. The latter might not reflect your taste in movies or how you want to spend your time. This is a low-scale analogy for Tezos’ voting solution. Tezos might provide a solution, but the solution is not optimal. When encountering a large-scale decision, the protocol will be changed based on the vote, but the minority might reject the vote and fork the coin.
Under Tau, the protocol will detect the core consensus among the different perspectives and change accordingly. With the assistance of Tau and its knowledge, users will effectively discuss among themselves how to reach further consensus points. With every consensus point, Tau will change itself accordingly.
*As the community members decide how Tau will be developed, they can suggest the majority rule (or a higher bar) as a decision rule. Tau will automatically detect the different perspectives of the community members and will execute their decision to change Tau’s protocol.
Another important aspect of Tau (compared to Tezos) is the fact that Tau will present its users with output about all the network input. All the data/opinions/information that users provide during their discussions will be accumulated to the knowledge archive. Tau will utilize its knowledge to provide its users with a better access for qualitative and quantitative information. Over Tau, the proposals (such as suggestions to change the protocol) that users will raise can be as wise as the information contained in the entire network.
I will end this article by quoting the last paragraph in my first article:
"I foresee huge potential for this project and urge you to read and learn about this project and its relevant applications. If you find this vision interesting, I recommend that you follow the project on Telegram, Facebook, LinkedIn and Reddit, or read Ohad’s blog for further information."
Disclaimer: I have invested in Agoras. Please do your own research before investing in Agoras and/or any other coin or project. Please do not consider this article to constitute financial advice.
Using Controlled English as a Knowledge Representation language. By Dana Edwards. Posted on Steemit. April 4, 2017.
Previously I mentioned "controlled English" when discussing the concept of knowledge representation. This post will go into some detail about what controlled English is. In specific I will discuss Kuhn's doctoral dissertation and Attempto Controlled English (ACE).
Computational linguistics is an interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective.
There are many different controlled natural languages
First I would like to discuss the fact that controlled English is not the only controlled nature language and Attempto Controlled English is only one particular controlled English. For example 1 there is RuleSpeak which is a controlled natural language for business rules. Another example2 is Quelo Controlled English which is a controlled English for querying, where you would say statements such as: "I am looking for something, it should be located in a city, the city should produce a new car, the new car should be equipped with a diesel engine". In addition to these examples we also have Google which uses Voice Actions where you can speak into your android phone and say something like: "Create a calendar event: Dinner in San Francisco, Saturday at 7:00PM". All of these are examples of controlled natural languages and reveal just how powerful this could be for users and developers.
What is Attempto Controlled English (ACE)?
Attempto Controlled English also known as ACE is a specific controlled natural language. It is likely that at some point in the early stages of development this controlled natural language will be implemented on Tauchain. ACE is like English but relies on following certain rules with a restricted vocabulary.
Rule subject + verb + complements + adjuncts
All simple ACE sentences have the above structure of subject + verb + complements + adjuncts. An example would be the following sentences below:
A customer waits.
To construct sentences without a verb you can rely on:
there is + noun phrase
There is a customer.
And you can add detail with:
A trusted customer inserts two valid cards.
And you can use variables:
How does Attempto Controlled English help with Knowledge Representation?
In specific because anyone who speaks English can quickly learn Attempto Controlled English it will mean anyone will be able to contribute to the process of knowledge representation. Contributing to a knowledge base becomes very easy when you can simply describe in plain English (with restrictions) exactly the knowledge you want to represent. A semantic Wiki can be built out of this process rather easily.
How does Attempto Controlled English relate to Tauchain?
Tauchain requires input from the users to determine a formal specification. Attempto Controlled English is simple enough that anyone can describe a formal specification. For example sentences like:
Every customer inserts a card.
As you see above, we are dealing with types. Human is a type. Human is divided at a minimum between male and female subtypes.
And ACEWiki gives an example of what a formal specification could look like in Tauchain. The example being country, where the knowledge in this case is the concept of a country. Then we describe a country by filling in the Wiki collaboratively, where we know first of all that every country is an area, but then collaboratively we fill in the list of current persons who govern a country. Through this method we add to the knowledge base using the knowledge representation language ACE, and in the case of Tauchain we would be adding to potentially a formal specification which eventually is synthesized (program synthesis) by the Tauchain automatic programmer.
To learn more about Attempto Controlled English Wiki watch the video lecture
Kuhn, T. (2009). Controlled English for knowledge representation (Doctoral dissertation, University of Zurich).
Kuhn, T. (2014). A survey and classification of controlled natural languages. Computational Linguistics, 40(1), 121-170.
Kuhn, T. (2009). How controlled English can improve semantic wikis. arXiv preprint arXiv:0907.1245.
Ranta, A., Enache, R., & Détrez, G. (2010, September). Controlled language for everyday use: the molto phrasebook. In International Workshop on Controlled Natural Language (pp. 115-136). Springer Berlin Heidelberg.
Ross, Ronald G. 2013. Tabulation of lists in RuleSpeak—using “the following” clause. Business Rules Journal, 14(4):1–16.
White, C., & Schwitter, R. (2009, December). An update on PENG light. In Proceedings of ALTA (Vol. 7, pp. 80-88).
Web 2: http://attempto.ifi.uzh.ch/site/resources/
Fuente / Source: Original post written by Dana Edwards. Published on Steemit: Using Controlled English as a Knowledge Representation language. April 4, 2017.
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Suggested readings to better understand the Tau ecosystem, Tau Meta Language, Tau-Chain and Agoras, and collaborate in the development of the project.
Lecturas sugeridas para entender mejor el ecosistema Tau, Tau Meta Lenguaje, Tau-Chain y Agoras, y colaborar en el desarrollo del proyecto.