Robot intelligence
In previous chapters (links are below) I discussed some concepts which
ought to be implemented in a CA model of robot intelligence. Some, like
emotion or empathy seem difficult to handle, nevertheless their representations
may be relatively simple. By representation I mean a mapping from a
phenomenon to a CA system. Its adequacy will be judged whether system
behavior meets our expectations.
An intelligent CA system has the following attributes:
1. It consists of at least two interacting processes (CA)
2. The system is dynamic, always seeking
an attractor.
2a. The system’s configuration at an attractor is called the system’s
solution.
2b. The system’s purpose (teleonomy) is to create an optimal solution.
In other words of all the potential solutions the system faces it will
create the most optimal.
3. The stem-process controls the system and when necessary adds
to it transitional processes. It lives as long as the system does, and
when it dies the system dies as well.
3a Transitional process is created by the stem-process and survives
less than the stem-process does.
4. Each process state is an action memory which serves as initial
condition for:
4a The next process state.
4b Transitional processes at the time of their creation by the stem-process.
5 The behavior of the system is driven by external (environmental)
change.
5a Sensation: Is an external change that perturbs the system
and modifies its action memory.
5b The system “understands” the external message (perturbation)
only when creating a new solution.
5c The new solution is the memory of the event (message) which perturbed
the system.
5d In other words if the system returns to its pre-perturbation solution,
it did not understand the message and forgot it.
6 Orientation memory: Is an action memory modified by an external
(environmental) change.
7. Emotion: Is a change in system’s behavior initiated by its present
state.
Proliferon
The memory of a complex system
Action memory
Orientation memory
Emotions
Empathy
Watch the applet
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