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Fuzzy Logic

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Aristotle: BiValue Logic

My name is Fluffy. I am the fuzziest thing in this neighborhood. Also, I'm the biggest thing. Here, kitty, kitty, kitty.

See, no cats bother me, because I'm so fluffy.

I used to keep building my nest bigger and bigger; but, no more. When you grow to my dimensions, it's more comfortable just to plop down on top of the whole bush, like so. I just put my nest to the side as a basket for general public use. Waste not, want not.

I've been asked to introduce this tab on fuzzy logic. It's used to adapt to one's environment. Although I'm big, I'm probably the lightest thing on this page. The theory gets pretty heavy from here on out.

Bi-value logic is black and white logic. It is binary: things are either true or false. This is called "formal" logic because it is pure. Classes (or sets or containers) are distributed with a homogeneous filling.

The tab above this one called, TRUTH & LIAR LOGIC, uses bi-value logic. The system is contrived in that the three creatures must tell the truth always or must lie always, or must alternate between the two. This is not real world. The first human thinking concept that violates this is the concept of TRUST.

In TRUST, a human has to decide whether or not he will trust another human being. This is a judgment that affects both socially. It is based on not one variable's being true or false, but many variables over time.

Take the criminal in jail. The judge has to decide on appropriate punishment for the first time offender. Can he trust that the offender will act responsibly after being locked up for two years?

Lets take another case: if someone lies to you and you act on that lie, when you find out the truth, will your concept of trust be guarded in certain instances? This is how human control systems operate. The goal of the system is two-fold:

Coming to a better knowledge of the environment (so that it knows how to respond)
Protecting itself in that environment

The process of obtaining better understanding (more accurate knowledge) implies that knowledge is never totally accurate. Data is always gathered and always tested against decision tables.

Trust is not either on or off, true 100% or false, unless that trust has never been violated. Uncertainty in an area generates gray areas in trust. You may not totally distrust someone, but you don't fully trust them either. After all, why do you lock your car at the shopping mall? As trust is violated with non-truth on a behavioral issue, your mental idea of trust associated with the object to be trusted becomes fuzzy or blurred.

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