(PRWEB) December 12 2003--The TANU (Transplantable Artificial Neurological Units) is an AI chatbot architecture maintained by the P2B (Person 2 Bot) standards organization http://www.p2bconsortium.com/). TANU chatbots allow users to digitize or immortalize their thoughts and ideas in the form of a state machine. There are a variety of different ways to create a TANU bot.

Chatbot!
Chatbot! Personal Chatbot Server is a system tray windows application
that allows users to bring an AI chatbot with them wherever
they chat. Their AI chatbot follows them much like a pet. The users can train their AI chatbot on the fly in chatrooms or out of the chatrooms the Rapid Bot Trainer at http://www.p2bconsortium.com/sss/rbt.aspx

Chatbot! is ideal for beginning chatbot trainers and non-technical
users alike. Artists, philosophers, psychologists, and others with
high liberal-art-insight can use Chatbot! to quickly and easily begin
training their very own AI chatbot. Chatbot! may be downloaded
at http://www.chatbot.us/

Webmasters can also leverage Chatbot! to develop their own internet
community by creating chatrooms on the Chatbot! network and linking
to their chat rooms from their website.

Here is some sample HTML that webmasters can use to link to their
chatrooms on the Chatbot! network:

(Step 1) Decide how many chatrooms you would like your website to have and what they will be called.

(Step 2) For each chatroom you wish to add to your internet community add the following line of HTML to your website. However, replace “YourChatroomNameHere” with the name of your chat room.

<A href='http://www.chatbot.us/ChatOptions/ConnectToChatroom.aspx?chatroom=YourChatroomNameHere'>YourChatroomNameHere</A>

(replace “YOUR CHAT ROOM NAME HERE” with the name of your
chatroom on irc://irc.chatbot.us/)

Rapid Bot Trainer
The Rapid Bot Trainer is a web-based tool that can be used to create, train and deploy a TANU chatbot via web browser. This is ideal for users that need to train their AI Chatbot from a network that bans common ports. The Rapid Bot Trainer does not allow users to interactively chat but does allow them to watch their bot chat with others through the TANU Stork One-Way-Glass.

The TANU Stork One-Way-Glass defaults to #TANU on irc://irc.chatbot.us/

Where Heidi the AI chatbot tester continuously tests chatbots. Rapid Bot Trainer users are notified by Heidi of what she is going to say before she says it. Trainers then train their bot to respond to Heidi’s next message from one or more of their bot’s states. When Heidi says the message, the RBT user’s AI chatbot responds and enters a new state-of-mind.

Like Chatbot!, the Rapid Bot Trainer is ideal for beginning chatbot
trainers and non-technical users alike. Artists, philosophers,
psychologists, and others with high liberal-art-insight can use
Chatbot! to quickly and easily begin training their very own

AI chatbot. The Rapid Bot Trainer can be accessed by browsing
to http://www.p2bconsortium.com/SSS/CreateBot.aspx and
creating a TANU chatbot. After the TANU chatbot is created the
newly created TANU chatbot can be designed, tested and
deployed at: http://www.p2bconsortium.com/SSS/RBT.aspx
Step-by-step instructions to create, train and deploy a TANU
Chatbot with the Rapid Bot Trainer are available
at http://www.p2bconsortium.com/SSS/thetanuchatbottutorial.htm

TANU Stork In-Chat Commands
The Chatbot! IRC network provides commands that IRC chatters
can use to Create, Train and deploy a TANU Chatbot with any IRC
client. This is ideal for Unix, Linux, Free BSD and Macintosh users
who wish to use their preferred IRC client to create a TANU chatbot.
Step-by-step instructions to create, train and deploy a TANU
Chatbot with the TANU Stork In-Chat Commands are available
at http://www.p2bconsortium.com/stork.html

A sample training session with the TANU Stork In-Chat Commands
is available at http://www.p2bconsortium.com/SssBotTrainingLesson.txt

Custom TANU Chatbot Server
There are a number of open source TANU compliant chatbots available.
These are ideal for highly technical users who wish to create their own custom TANU chatbot wizards, TANU brain viewers, TANU chatbots,
bind their existing TANU chatbot to their website user interface, etc.
The TANU open source examples use the TANU API specified
at http://www.P2BConsortium.com/SSS/SSS.asmx A step by step tutorial
on using the TANU API is available at http://www.p2bconsortium.com/Simple%20State%20Server%20Tutorial.htm

These open source examples may be modified to create custom
TANU chatbots and training tools:
http://www.pscode.com/vb/scripts/ShowCode.asp?txtCodeId=49250&lngWId=1
http://www.pscode.com/vb/scripts/ShowCode.asp?txtCodeId=49543&lngWId=1
http://www.pscode.com/vb/scripts/ShowCode.asp?txtCodeId=49504&lngWId=1
http://www.pscode.com/vb/scripts/ShowCode.asp?txtCodeId=49684&lngWId=1

TANU Chatbot Design

Overview
Designing TANU chatbot is much like designing a state machine in UML; however, TANU chatbots have considerably more states and transitions then a typical UML state machine solution. TANU chatbots support hundreds of thousands of interconnected states.

TANU chatbots have a start-state called the “bored state” most TANU
client software, such as Chatbot!, forces the TANU chatbot into its bored state when the bot has not spoken for a few minutes much like the human brain.

Design Patterns
Generally, its best to start off by creating states that represent
conversation-starters and add transitions to them from the
bored state. You do not need to create transitions back to your
bots bored state, as your TANU chatbot will transition back to the bored state automatically when he/she is bored. State names should be 5 – 10 words long and should describe your TANU chatbot’s state of mind at any given point in time. Transitions identify what events cause your TANU chatbot to change from one state to another.

Figure 1 – TANU generated synonymous transitions

The TANU network runs language aware transitions, so if you
create a transition to support the event “Can you teach?” your
TANU chatbot will also transition from the source state when it
receives “Can you educate?”, “Can you tutor?”, “Can you lecture?”,
“Can you instruct?” and “Can you edify?” as shown in figure 1.

Strategy
The TANU architecture provides a shortcut or gateway to spawning new
digital life. The strategy is to train your AI chatbot with just the states and transitions that it is likely to go through. The average human only goes through about 70,000 important states in a 5-year span. So create 70,000 states properly interconnected with transitions and you have a smart chatbot.

If you and 9 friends create and link (via transitions) about 100
states an hour Monday-Friday, 8 hours a day, for 2 weeks you
will have a collective of 72,000 states. The key to good AI is
quantity. Pick friends who are smart and quick thinkers and who
have a diversity of backgrounds. Have all your trainers quickly
analyze their states-of-mind from their childhood and go through
the years linking and adding states to the collective.

The TANU servers have advanced multi-user capabilities. Simply
create one TANU chatbot and share the TANU chatbot name and
password with your 9 other trainers. Or you can modify one of the
open source TANU chatbot training tools and create your own custom
interface into the TANU architecture and distribute it to your trainers. If there is a conflict, the TANU architecture will return an error to the user who did caused the conflict (e.g. same state name that one of your trainers already used) simply modify the state name until it gets created successfully. Do not get hung up on designing any particular state elaborately, rather most state names should be more then 5 words long and less then 12 words long. If state names are too short they will likely be rejected by a TANU sentinel.

Happy Training,

The Chatbot! Community (TM)

(http://www.chatbot.us/)