Borek said:
Actually I haven't seen a specific argument in what you have posted, perhaps I have missed something. The closest I was able to find was that
But it doesn't say anything about the real situation. From my POV it is good when cows are eaten, from cows POV it is good when I am vegetarian. Obviously there is a conflict here. General point of view will seek some equilibrium between me craving for beef and cow wanting to live. This is kind of an optimization problem - but to find optimum you have to assign some weights/values to both sides. I don't see how these can be done in a systematic, objective and general way - that happens whenever we deal with things that are not well defined and not measurable.
Also note that it was you who have stated it is possible to do these things in a general way, so the burden of the proof is yours.
Are we talking about violence or goodness? It matters because I was talking about how to generalise a particular situational judgement so that it made more sense as part of a systems description.
Good is already a generalised concept, and I would agree, fundamentally meaningless. The reason being that it is a simple metaphysical symmetry (good and evil - which is the global and which is the local here?). Systems based approaches require metaphysical asymmetry - something that is the local to complement the something that is the global. You have to be talking about a hierarchy which results from an interaction between bottom-up constructive actions (such as competitive ones) and top-down global constraints (such as cooperative ones).
As to POV, yes you can say there is your point of view, and the cow's point of view. Then the most general would the view which successfully incorporates both of these, equlibrating whatever you take to be the desires represented by the two POV.
You could say the desire is for you both to survive. But this is not sufficiently general (and not even true of the cow). You have to step back to the evolutionary view, and then even the thermodynamic view. Which is as general as we know how to go.
Theoretical biology would frame this in terms of entropy maximisation principles. And then we really are in a position to measure things.
And if you actually look at the kinds of interactions that societies traditionally deem violent, it is not hard to see that they are max ent oriented.
Societies, like ecologies, develop a dissipative equilbrium balance. And they attempt to maintain them. Moral actions are ones that increase the functioning of the system, immoral ones are those that degrade its capacity to produce entropy.
If a farmer kills a cow, he does it as part of an organised system that has achieved some kind of optimal dissipative balance. If I kill a farmer's cow, I am disrupting the functioning of that system and so can expect the system to feel justified in taking corrective action. If I refuse to eat cow because I am vegetarian, than this system will again not be happy at a disruption to its organisation.
So again, the argument goes that societies can be described as a necessary balance of competition and cooperation. The balance is in fact a max ent dissipative balance - we have the theory to measure these things. Violence is then our description when the cooperative aspect has gone missing and the competitive one becomes over-represented. The system is becoming self-destructing (and so less efficient at dissipating).
What would we call the situation where this is reversed - where cooperation dominates to a self-destructive extent? Peaceful? Senile? Homogenous? Bland?
The opposite of violent probably is bland. Peaceful perhaps, but in a bad way, not a good way (heh, heh.)
A last point, competition~cooperation are terms that could of course do with further definition in this discussion. They themselves can be generalised to deeper ideas like differentiation~integration - terms that we can begin to see as measureable.
If something differentiates, it becomes different from what is around it. And vice-versa. So now we are into the realm of boolean networks and other edge of chaos or self organising criticality models. We have generalised all the way to the maths of complex systems.