In a previous post I constructed a simple agent-based simulation model, containing groups of agents that can be located on a battlefield grid. The model was coded in Python, using matplotlib for visualization. I went on to conduct a simple simulation run, showing one battle scenario and its outcome.

Below I remodel the problem, trying to clean up the code and modularizing functionality into…

Common methods found in the market such as LEAN, AGILE, SCRUM are short and insufficient to generate a high level of efficiency in discrete-continuous variables based workflows and aspects of classification, decidability and analysis remains mostly copies of successful cases. The new metric and theoretical framework proposed in this article allows qualitative classification and analysis of workflows in close proximity to qualitative theory of differential equations (QDE), raising the possibility of fulfill the gaps existent in the commercial and popular methods. These metrics are also the result of research carried out in the view of the difficulty of characterizing the solidity aspect of workflows and enabling continuous improvements as a complex adaptive system (CAS).

Creative Commons Attribution License: This article was originally published in its full content in Journal of Mathematics, 2019 (Hindawi): “A Mathematical Modelling for Workflows” and it was republished as a book chapter (SCIENCEDOMAIN International) under the title “Analysis of Probabilistic Distributions and Uncertainty of Information Flow at Administrative Workflows” with some small modifications from the previous version.

Author(s) Details

Charles Roberto Telles Department of Research Advisory, Secretary of State for Education and Sport, Curitiba, Paraná, Brazil.

phestudiesAutumn Study Challenge

Day 2: Why are you studying this topic?

I actually had a choice in choosing my assignment topic, which was a much harder decision to make than I thought it would be.

For this essay, I had to choose two studies that attempt to answer the same research question using one or more of the main theoretical frameworks that orient environmental criminology (namely the opportunity theories: routine activities theory, rational choice theory, and crime a pattern theory) and compare and contrast them.

One of the readings for last week was an article written by three authors, two of which come from my university. They used an agent-based model to test whether the simulation produced results that are consistent with routine activities theory, rational choice theory and crime pattern theory. They created and ran a simulation of burglary to test the core concepts of the aforementioned theories and found that the criminal agents in the model acted exactly as these theories say they should.

I find that incredibly interesting because it's a relatively new piece of technology and software and has huge implications in terms of theory evolution, research practice, policy making and prevention and intervention.

I'm incredibly anxious about writing this essay because it's my first one for my post grad degree and I'm really scared I'm going to mess it up. At least it's an interesting topic :)