A Generic Agent-Based Model of Historical Social Behaviors Change

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

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

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 …

Simulation of the anomalous social behaviours with a learning model

In this paper our objective is to understand the process of emergence in the study of social behaviours evolution with a learning model. When the system is too complex to study it is important to recreate an artificial universe in which experiments’ simulation can help to understand the mechanisms of human social behaviours. In Previous work we determined the conditions that favour the perpetuity of the Capitalist Globalization, the possibility of its overcoming with a Free Scientific Society and the possibility of the Ecological Hecatomb. In this paper we have theoretically explained the emergence of the anomalous behaviours and developed statistical studies of the conditions that favour t…

Modelling “Occident/Orient” duality and migration process with mobile agents

A generic model of reinforcement learning combined with macroscopic cellular automata to simulate land use change

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.

A learning model for the dual evolution of human social behaviors

In this work we modelize, with an abstract mathematical model by computer simulation, the processes that have made to appear in the world a strong duality between orient and occident, by combining changes in conditions of initialization, natural system and the opposition gregarious/individualism of the social behaviors. Finally we present a statistical study of the influence of the repression adaptability, resignation and recycling on the ecological destruction and social evolution. This model can help us to analyze if the current capitalist globalization can be stopped, changed or regulated, and if it is possible to overcome it towards a Free Scientific Society.

Un modelo sistémico de evolución social dual.

En previos Modelos de Evolución Social desarrollados en la unidad de investigación de Teoría de Sistemas del Departamento de Matemática Aplicada de la Universitat de València se generaba una evolución uniforme, en la que los sistemas sociales pasaban por una serie unívoca de fases, pero no diferentes caminos de la misma. Éramos conscientes de que dichos modelos no describían satisfactoriamente la Evolución real de la humanidad sobre el planeta tierra, donde se han desarrollado líneas de evolución diferenciadas. Siguiendo a Maurice Godelier podríamos describir dos líneas de evolución: una de ellas que podríamos llamar occidental, habría pasado por las fases de esclavitud, feudalismo y capita…

Understanding social behavior evolutions through agent-based modeling

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…