0000000000150260
AUTHOR
Rafael Pla López
showing 8 related works from this author
The Catalonian Conflict : an Interpretive Structural Model
2019
The methodology ISM (Interpretive Structural Modeling) is used to study the conflict in Catalonia, listing a list of factors and the influences between them, building from them the Matrix of Influences and the Matrix of Scope, from which they classify the factors into levels and a flow diagram is drawn up, concluding what the possible paths of evolution of said conflict would be
A Generic Agent-Based Model of Historical Social Behaviors Change
2016
The primary theme of this chapter is trying to describe, discuss and understand how human societies change over time using agent-based modeling. Agents become a major paradigm of social simulation allow us to model the complex social phenomena under the bottom-up approach. Certainly one of the key points of the bottom-up approach is the emergence of macro level phenomena from micro level actions and interactions. The main objective of this work is to build a Virtual Social Laboratory, from Rafael Pla Lopez Social evolution model, in order to explore the social evolution of a set of artificial societies/agents that evolve within a grid of cells which are characterized by a level of natural r…
A Theoretical Learning Model Combining Stochastic Cellular Automata and Economic Indicators to Simulate Land Use Change
2015
The study of change in land use has been included in territorial planning to inform spatial planners and policy makers of the possible developments they face in order to optimize future management decisions. In this paper the authors present the core of an original learning model coupling stochastic Cellular Automata and economic indicators to simulate the land use change. This model is an important step in building an “environmental virtual laboratory” to explore, explain and forecast land use change.
A Theoretical Agent-Based Model to simulate an Artificial Social Evolution
2013
Agent-based social simulation as a computational approach to social simulation has been largely used to explore social phenomena. The purpose of this paper is to build a theoretical agent-based model to simulate the social evolution of a set of agents/artificial societies. In this model, each agent (artificial society) has an available number of social behaviours that compete among each other. The agent/agent interactions are carried out by their social otherwise, the agent/environment interactions are expressed through the consumption of ecological resources in repression and satisfaction by social behaviours of the agent. In this work, we will present the structure and the formulation of …
Solución Sistémica a los Conflictos Nacionales
2018
Resumen - Se analiza cómo desarrollar una solución sistémica a los conflictos nacional articulando autodeterminación y solidaridad a través de un federalismo fractal.Abstract – How to develop a systemic solution to national conflicts is analyzed by articulating selfdetermination and solidarity through a fractal federalism.
A generic model of reinforcement learning combined with macroscopic cellular automata to simulate land use change
2019
Better understanding the evolution of land cover is a priority concern in the field of land use change study. This evolution can be the result of interactions between major factors. The study of land use change is included in territorial planning to inform planners and policy makers of possible developments they will face. Land use models are useful for reasonable land use management to optimize future land management decisions. In this paper we present an original theoretical model of reinforcement learning combined with macroscopic cellular automata to simulate land use change.
Understanding social behavior evolutions through agent-based modeling
2012
Agent-based social simulation as a computational approach to social simulation has been largely used to explore social phenomena. The purpose of this paper is to describe a theoretical model of transmission and evolution of social behaviors in a network of artificial societies (artificial world) using agent-based modeling technology. In this model, each agent (society) is subdivided into social behaviors where individual and social learning occur. The agent-agent interactions are carried out by their social behaviors; otherwise the agent-environment interactions through consumption of ecological resources by its social behaviors in repression and satisfaction. We distinguish social behavior…