abce
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AB-CE
Agent-based computational Economics, the Python library that makes AB modelling easier
Hi Davoud, Thanks for writing such an innovative package. I'm having an issue when trying to run the 'one household one firm with logic' example, specifically with the line: firms...
When running jupyter example the code breaks. I'm running the following code: ``` import abce simulation = abce.Simulation(name="ipythonsimulation", processes=1) class Agent(abce.Agent): def init(self, parameters, agent_parameters): self.family_name = agent_parameters self.world_size =...
So that the ABM subset could be reused for other purposes / as a building block for more sims (much like in the MASON case).
@DavoudTaghawiNejad this should be a quick implementation if the processorgroup architecture is indeed modular.
New version of 'hash' in python give different values during execution of each thread when doing multiprocessing. Following error will accure: 50000_firms/start.py return error when running in 2 or more...
using self.destroy and self-create is unintuitive users prefer += and -= self['cookies'] += 5