procedure matrix

Activity
1.components
2.behaviour set
3.Others
component matrix * component matrix = 1 state set
this multiplication is iterative and non commutative
interesting feature is balance point
a balance point is a state within a sequence of iteration which can exist in the
same state for most time
matrix mul provide symbol chain,also in the background behavious sets are getting
composed and this composition can give an output that will be added to a future iteration
4.components can have behaviours and traits
so component = behaviour
at each composition there is a behaviour weight associated in composition plane
the weight can determine the next composition parameters

4.A tool is required to input the component matrix and behaviour matrix
behaviour matrix is subtle, ie it does nt make sense to define a behaviour without first defining the component composition, but still it can be booleans

Each composition takes place to achieve an objective
so in the compositon plane there is a behaviour set, behaviour weight,objective set

the system becomes simple if every composition has the same objective
mostly the behaviour weights also becomes same

At the composition plane there are these things happening
-c1 executes a feedback loop on wighted behaviour of c2
-c2 does the same
-c1 generates next weight using the feedback and its objective
-c2 does the same

the aim of composition must be to find the most balancing state
also it anlayse abberations,or induced unbalance