Author: TrueAndroids Date: 3/6/10

This work is licensed under the Creative Commons Attribution-Share Alike 3.0 United States License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/us/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA. Please attribute TrueAndroids as author/creator 3/6/10 by TrueAndroids (Ken Long)

1. Introduction

Following is my Inventor's Video Document (2006) in which I demo the Machine Consciousness Prototype I created. I believe this is the world's first Conscious Machine. YOU BE THE JUDGE!!

How shall computer scientists and the public at large assess if I have truly created artificial, machine consciousness?

I propose the 'Searle Line' (in the sand), which is inspired by the Chinese Room Experiment of Professor John Searle. To cross the line into authentic machine consciousness, or strong AI, a machine must at least exhibit:

1. semantic understanding of language sentences.

2. ability to perform deductive reasoning, a universally accepted form of human thinking.

Without at least these two capabilities, no claim of strong AI or machine consciousness can be made, and with them it can.

That's what my machine consciousness prototype in this demo is doing, and the precise reason I claim that I have built an authentic conscious machine. And perhaps the very first one! So that's my 'claim to fame.'

TrueAndroids Video Demo Part One. The Searle Chinese Room Argument http://www.youtube.com/watch?v=kpiTOqznazU

TrueAndroids Video Demo Part Two. The TrueAndroids Conscious Machine Prototype http://www.youtube.com/watch?v=cyR43ok- xpA

** See youtube homepage above for these videos **

Artificial Intelligence (AI) - "can be seen as an attempt to model aspects of Human Thought on computers." http://www.networkdictionary.com/software/a.php

Deductive reasoning is an accepted form of human thought. Therefore, a program that models this deductive reasoning can be accepted as a true artificial intelligence.

If the program employs a semantic understanding of natural sentences as well, then it can be accepted as authentic machine consciousness or strong AI. And this is the first step in creating an android brain for TRUE ANDROIDS.

The Machine Consciousness Prototype in this demo is the implemented part of my provisional patent of a complete android brain of an artificial human I filed in 2006. However, I've decided to go the Open Source route and will release the patent details here and on my Facebook Page.

Semantic computing is defined as

"... the derivation and matching of the semantics of computational content to that of naturally expressed user intentions in order to retrieve, manage, manipulate or even create content, where "content" maybe anything including video, audio, text, processes, services, hardware, networks, etc." From: http://www.ieee-icsc.org/

So the semantic components of computational content must be identified and implemented, as has been done in my prototype. The semantic deductive reasoning being performed by the prototype is what makes it a post-classical conscious machine.

2. Rule Based Expert Systems and (non- semantic) Deductive Reasoning

It’s true that long existing rule based expert systems perform some deductive reasoning. But they don’t do so semantically, and so they can’t be called conscious machines. My prototype can perform semantic deductive reasoning with natural English sentences, and so is a conscious machine.

Classic rule based expert systems have specific components and functions:

Necessary Components of a Rule Based Expert System. By Mohd Fairuz Bin Zaiyadi (2005) -- • Knowledge base - models a human’s long term memory as a set of rules. • Working memory - models a human’s short term memory and contains problem facts both entered and inferred by the firing of the rules. • Inference engine - models human reasoning by combining problem facts contained in the working memory with rules contained in the knowledge base to infer new information. from: www.generation5.org/content/2005/CarMaintenance.asp

In post-classical conscious machines the structure is basically the same, with the usage of a machine self, in place of the inference engine.

Necessary Components of a Conscious Machine. by TrueAndroids (Ken Long) 2006 -- • Knowledge base - models a human’s long term memory as a set of rules • Working memory - models a human’s short term memory and contains immediate problem facts both entered and inferred by the firing of the rules. • Machine self - models human semantic reasoning and so exhibits machine consciousness; it does so by combining problem facts contained in the working memory with rules contained in the knowledge base to infer new information.

3. The TrueAndroids Conscious Machine Prototype

When we think, we think about two things: individual objects (Socrates) or sets (apples). In expert systems and conscious machines, facts are statements about individual objects (Socrates is a man.). Rules are statements about sets, of which there are three types determined by the quantifier of the sentence (all, some, no). The human semantic reasoning modeled by the prototype is deductive reasoning. Deductive reasoning can involve many combinations of rules (I found 312 valid combinations) resulting in a new rule deduced from them, or a fact and a rule resulting in a new fact.

My Conscious Machine Prototype Code, though containing only 6500 words, can perform semantic deductive reasoning because it divides sentences into semantic components (quantifier, etc) and then compares them to draw a conclusion if possible. And it can do it for any subject matter and for all 312 possible valid deductive rule structures, and all possible fact/rule combinations.

For example, from the two pieces of information “Some apples are red” and “No apples are square” there can be deduced the valid conclusion that “Some objects that are not square are red” (or its equivalent “Some objects that are red are not square”). And that’s what the Conscious Machine Prototype concludes. So it is definitely thinking, or an artificial intelligence. And it is doing it semantically, and so it is a conscious machine, or a strong AI.

Here are the TrueAndroids Semantic Components of Computational Content:

1. Quantifier 2. S Domain (direct/indirect genus of subject) 3. Subject charge 4. Subject (variable/value if using connectives) 5. Copula (certainty factor for fuzzy logic) 6. P Domain 7. Predicate charge 8. Predicate

And so there it is, the holy grail of machine consciousness, and ultimately of artificial human life, and beyond … the super-intelligent Singularity. All roads lead to Rome.