Intelligent
Information System
definition
examples, applications
Until now, intelligence is defined vaguely as the things humans still
can and computers not...
Intelligent
Information System
definition
examples, applications
To start my research I define following properties of information systems:
- Expressiveness (EXPR). An information system contains knowledge/information.
Expressiveness is a measure for what kind of information can be put in
the system. Especially the power of defining and applying general reasoning
rules will be necessary for the parallelisator.
- Recognition (RECOG) of characteristics of the problem, like
in pattern recognition. This relates to similarity detection (explained
later).
- Understanding: for some requirements the information system
should understand what is meant. However, this concept is not fully understood
and still vague. A start of giving the concept a concrete form are the
properies similarity detection (see recognition) and the notion of levels
in a program (see later).
- Reasoning: one thing humans do is reasoning. We need to understand
this phenomenon in order to solve some kind of problems.
- Minimal Information Principle: hoe uitleggen? Uitwerken?
Description
<> Implementation
important difference!
necessary for: programming, optimisation (same result, faster implementation),
learning