Demystifier said:
So the evolution of agents is not described by Hamiltonian, right? Do you have some concrete model of agent evolution in mind?
The simple answer would be yes, if by agent we refer to the intrinsic perspective, it's not described by a fixed Hamiltonian simply because a Hamiltonian itself implicitly encodes information that bypassed proper inference. Instead the evolution of the agent from it's own perspective is simply an evolutionary learning process.
Still I imagine that one agent can have an emergent hamiltonian description, relative to another agent. This is the way in where must be a correspondence. The quest is to understand exactly how and which "hamiltonians" or that are likely abundant in nature.
The traditional method is differential equation based, which is a top down method, based on constraints. I largely consider an agent based model, which are commong in other fields, such as epidemology, social theory and economy. It's a bottom up model, where you simulate interactions of the part as per some sort of evolutionary rules, and see what population scale patterns that emerge. Predictions of these patterns from the model would add explanatory value.
Unless that basic ABM oncept is clear already see this paper (not specific to physics though!)
Validation and Inference of Agent Based Models
"Agent-based model (ABM) is a simulation based modeling technique that aims to describe complex dynamic processes, such as the spread of infectious disease. ABM provides considerable flexibility by explaining the complex dynamic process using simple rules that incorporate characteristics of individual
entities, called agents, and their interactions. Thus, mechanisms which are often difficult or impossible to model directly at the population level can be incorporated at the smaller scale into the development of ABM [Hooten and Wikle, 2010, Grimm and Railsback, 2013].
ABM can capture emergent phenomena resulting from the interactions of agents, and can be used to simulate counterfactual outcomes in hypothetical experiments which are impossible or unethical to conduct in the real world."
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https://arxiv.org/abs/2107.03619
The idea is simple; simulate interactions of "agents", and identify from the emergent phenomena, emergent dynamical laws. Here the ABM model, has the potential to "explain" what in equation based modelling are constraints as emergent.
I certainly don't have any concrete models that reproduce the standardmodel in a unified manner. Even though that is obviously the goal. If I find it, i promise to publish it ;)
These ideas are not without problems though, but I prefer thoese problems over the alternative.
I have only some concrete toy models, but these are obiously personal theories at this point and even besides off limits here. I need to work on this alot more before I will officially publish it anywhere. But the general guiding principles can I think be understood without the details.
/Fredrik