Mass Media Strategies

2012 ◽  
pp. 327-354
Author(s):  
Carlos Alberto Ochoa Ortiz Zezzatti ◽  
Darwin Young ◽  
Camelia Chira ◽  
Daniel Azpeitia ◽  
Alán Calvillo
Keyword(s):  
Evolutionary Algorithms ◽  
Real Life ◽  
Evolutionary Process ◽  
Sociological Research ◽  
Cultural Algorithms ◽  
Theoretical Concepts ◽  
Agent Based ◽  
Cultural Paradigms ◽  
The Social ◽  
Common Situation

Evolve computing is a generic name given to the resolution of computational problems with base in models of an evolutionary process. Most of the evolutionary algorithms propose biological paradigms, and concepts of natural selection, mutation, and reproduction. Nevertheless other paradigms exist and can be adopted in the creation of evolutionary algorithms. Many problems involve environments not structured which can be solved from the perspective of cultural paradigms, which offer plenty of category models, where one does which do not know the possible solutions at problem, a common situation in the real life. The intention of this research is analyze the Crowdfunding Model, supporting to a social networking to an Indie Pop Band. Sociological research shows that Crowdfunding tends to reveal a bias toward social similarity. Therefore, in order to model this Project supported with Crowdfunding developing an Agent-Based Model that already manages the social interaction, together with featuring information of MySpace Music evolutionary belief spaces. To introduce these theoretical concepts the authors decided use Cultural Algorithms in our approach, explaining the process in detail.

Mass Media Strategies

2013 ◽  
pp. 322-347
Author(s):  
Carlos Alberto Ochoa Ortiz Zezzatti ◽  
Darwin Young ◽  
Camelia Chira ◽  
Daniel Azpeitia ◽  
Alán Calvillo
Keyword(s):  
Evolutionary Algorithms ◽  
Real Life ◽  
Evolutionary Process ◽  
Sociological Research ◽  
Cultural Algorithms ◽  
Theoretical Concepts ◽  
Agent Based ◽  
Cultural Paradigms ◽  
The Social ◽  
Common Situation

Evolve computing is a generic name given to the resolution of computational problems with base in models of an evolutionary process. Most of the evolutionary algorithms propose biological paradigms, and concepts of natural selection, mutation, and reproduction. Nevertheless other paradigms exist and can be adopted in the creation of evolutionary algorithms. Many problems involve environments not structured which can be solved from the perspective of cultural paradigms, which offer plenty of category models, where one does which do not know the possible solutions at problem, a common situation in the real life. The intention of this research is analyze the Crowdfunding Model, supporting to a social networking to an Indie Pop Band. Sociological research shows that Crowdfunding tends to reveal a bias toward social similarity. Therefore, in order to model this Project supported with Crowdfunding developing an Agent-Based Model that already manages the social interaction, together with featuring information of MySpace Music evolutionary belief spaces. To introduce these theoretical concepts the authors decided use Cultural Algorithms in our approach, explaining the process in detail.

Mass Media Strategies

Data Mining ◽  
2013 ◽  
pp. 1163-1188
Author(s):  
Carlos Alberto Ochoa Ortiz Zezzatti ◽  
Darwin Young ◽  
Camelia Chira ◽  
Daniel Azpeitia ◽  
Alán Calvillo
Keyword(s):  
Evolutionary Algorithms ◽  
Real Life ◽  
Evolutionary Process ◽  
Sociological Research ◽  
Cultural Algorithms ◽  
Theoretical Concepts ◽  
Agent Based ◽  
Cultural Paradigms ◽  
The Social ◽  
Common Situation

Evolve computing is a generic name given to the resolution of computational problems with base in models of an evolutionary process. Most of the evolutionary algorithms propose biological paradigms, and concepts of natural selection, mutation, and reproduction. Nevertheless other paradigms exist and can be adopted in the creation of evolutionary algorithms. Many problems involve environments not structured which can be solved from the perspective of cultural paradigms, which offer plenty of category models, where one does which do not know the possible solutions at problem, a common situation in the real life. The intention of this research is analyze the Crowdfunding Model, supporting to a social networking to an Indie Pop Band. Sociological research shows that Crowdfunding tends to reveal a bias toward social similarity. Therefore, in order to model this Project supported with Crowdfunding developing an Agent-Based Model that already manages the social interaction, together with featuring information of MySpace Music evolutionary belief spaces. To introduce these theoretical concepts the authors decided use Cultural Algorithms in our approach, explaining the process in detail.

Crowdfunding to Improve Environmental Projects’ Logistics

2013 ◽  
pp. 1124-1144
Author(s):  
Carlos Alberto Ochoa Ortiz Zezzatti ◽  
Sandra Bustillos ◽  
Yarira Reyes ◽  
Alessandra Tagliarducci-Tcherassi ◽  
Rubén Jaramillo
Keyword(s):  
Evolutionary Algorithms ◽  
National Parks ◽  
Real Life ◽  
Evolutionary Process ◽  
Sociological Research ◽  
Cultural Algorithms ◽  
Theoretical Concepts ◽  
Agent Based ◽  
Natural Reserve ◽  
Environmental Projects

Evolve computing is the generic name given to the resolution of computational problems, based in models of an evolutionary process. Most evolutionary algorithms propose biological paradigms, and concepts of natural selection, mutation, and reproduction. Nevertheless other paradigms exist which can be adopted in the creation of evolutionary algorithms. Many problems involve environments not structured which can be solved from the perspective of cultural paradigms, which offer plenty of category models where one does not know the possible solutions of a problem, a common situation in real life. This research analyzed the organization of a project using a Crowdfunding Model, supporting to social networking. Sociological research shows that Crowdfunding tends to reveal a bias toward social similarity. Therefore, in order to model this Project supported with Crowdfunding, the authors developed an Agent-Based Model that already manages the social interaction, together with featuring information of issues in different habitats and evolutionary belief spaces. To introduce these theoretical concepts Cultural Algorithms were used in the approach, explaining the process in detail. In recent decades, in all World supporting Environmental Projects evolved from its traditional form of swapping issues with another friend’s and stashing those involving too many people from diverse countries all dedicated to conservation of habitats, Natural Reserve or National Parks.

Crowdfunding to improve Environmental Projects’ Logistics

2012 ◽  
pp. 287-309
Author(s):  
Carlos Alberto Ochoa Ortiz Zezzatti ◽  
Sandra Bustillos ◽  
Yarira Reyes ◽  
Alessandra Tagliarducci-Tcherassi ◽  
Rubén Jaramillo
Keyword(s):  
Evolutionary Algorithms ◽  
National Parks ◽  
Real Life ◽  
Evolutionary Process ◽  
Sociological Research ◽  
Cultural Algorithms ◽  
Theoretical Concepts ◽  
Agent Based ◽  
Natural Reserve ◽  
Environmental Projects

Evolve computing is the generic name given to the resolution of computational problems, based in models of an evolutionary process. Most evolutionary algorithms propose biological paradigms, and concepts of natural selection, mutation, and reproduction. Nevertheless other paradigms exist which can be adopted in the creation of evolutionary algorithms. Many problems involve environments not structured which can be solved from the perspective of cultural paradigms, which offer plenty of category models where one does not know the possible solutions of a problem, a common situation in real life. This research analyzed the organization of a project using a Crowdfunding Model, supporting to social networking. Sociological research shows that Crowdfunding tends to reveal a bias toward social similarity. Therefore, in order to model this Project supported with Crowdfunding, the authors developed an Agent-Based Model that already manages the social interaction, together with featuring information of issues in different habitats and evolutionary belief spaces. To introduce these theoretical concepts Cultural Algorithms were used in the approach, explaining the process in detail. In recent decades, in all World supporting Environmental Projects evolved from its traditional form of swapping issues with another friend’s and stashing those involving too many people from diverse countries all dedicated to conservation of habitats, Natural Reserve or National Parks.

Implementing a Container Ship Stowage Problem for Humanitarian Aid in Palestine Based on Cultural Algorithms

2016 ◽  
pp. 309-318
Author(s):  
Alberto Ochoa-Zezzatti ◽  
Julio Arreola ◽  
Kyrk Haltaufoerhyde ◽  
Vinicius Scarandangotti
Keyword(s):  
Evolutionary Algorithms ◽  
Real Life ◽  
Evolutionary Process ◽  
Humanitarian Aid ◽  
Cultural Algorithms ◽  
Cultural Paradigms ◽  
Living Things ◽  
Generic Term ◽  
Wide Range ◽  
Bioinspired Algorithms

Bioinspired algorithms are a generic term used to refer to the solution of computational problems, based on the planning and implementation based on existing models in the evolutionary process-related nature. Most evolutionary algorithms proposed paradigms that occur in the biology of living things and concepts of natural selection, mutation and reproduction. However, other paradigms that can be taken in the creation of evolutionary algorithms also exist such as the forces of nature, which have been many algorithms based on water, gas and wind reactions. Many of the environments involving unstructured problems in this case a problem of accommodation of containers of humanitarian aid to a company with limited resources, which can be considered from the perspective of cultural paradigms, because the cultural paradigms offer a wide range categorized models that ignore the possible solutions to the problem-a common situation in real life. The purpose of this research is to apply evolutionary computation properties of cultural technology; in this case, to corroborate through data mining analysis of how low the support of various companies use technology for their own benefit to propose a solution to a given problem, in our case carry different types of goods deemed humanitarian aid . The mentioned above, to carry out an adaptation from the standpoint of the modeling societies. An environment for conducting tests for this type of analysis in our case a model arrangement of containers was developed in order to enable learning about not very conventional characteristics of a cultural technology. This environment was named Allaliyah in Palestinian culture means “Together we can achieve everything.”

How the Spread of User-Generated Contents (UGC) Shapes International Tourism Distribution: Using Agent-Based Modeling to Inform Strategic UGC Marketing

2020 ◽  
pp. 004728752095163
Author(s):  
Ye Zhang ◽  
Jie Gao ◽  
Shu Cole ◽  
Peter Ricci
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Real Life ◽  
Cost Effective ◽  
Agent Based Modeling ◽  
Research Approach ◽  
Agent Based ◽  
The Social ◽  
Travel Decision ◽  
Media Channels

While user-generated contents (UGC) are recognized as increasingly important to destination marketing, many DMOs are uncertain how to strategically manage them to their best advantage, largely due to their lack of understanding of mechanisms underlying the UGC effects. By integrating multiple theories of travel decision-making and UGC distribution, this study develops and validates an agent-based model to inform DMOs of potential causal mechanisms of how individual tourists’ UGC behavioral features shape international arrival distribution via the social media channels of review sites (RSs) and social networking sites (SNSs). Simulated experiments with the model decompose and assess the complex UGC behavioral effects, which further suggest context-based favorable UGC distribution statuses for DMOs’ strategic UGC marketing. The model developed following a rigid procedure offers a promising UGC research approach toward the combination of restrictive causal conceptualization and real-life replicability. It also provides an adaptive prototype for cost-effective UGC effect assessments by DMOs.

Agent-Based Modeling

2010 ◽  
pp. 28-57 ◽  
Author(s):  
Brian L. Heath ◽  
Raymond R. Hill
Keyword(s):  
Real Life ◽  
Agent Based Modeling ◽  
Model Verification ◽  
Verification And Validation ◽  
Future Research ◽  
Agent Based Models ◽  
Agent Based ◽  
Philosophical Foundations ◽  
The Social ◽  
Model Verification And Validation

Models and simulations have been widely used as a means to predict the performance of systems. Agentbased modeling and agent distillations have recently found tremendous success particularly in analyzing ground force employment and doctrine. They have also seen wide use in the social sciences modeling a plethora of real-life scenarios. The use of these models always raises the question of whether the model is correctly encoded (verified) and accurately or faithfully represents the system of interest (validated). The topic of agent-based model verification and validation has received increased interest. This chapter traces the historical roots of agent-based modeling. This review examines the modern influences of systems thinking, cybernetics as well as chaos and complexity on the growth of agent-based modeling. The chapter then examines the philosophical foundations of simulation verification and validation. Simulation verification and validation can be viewed from two quite different perspectives: the simulation philosopher and the simulation practitioner. Personnel from either camp are typically unaware of the other camp’s view of simulation verification and validation. This chapter examines both camps while also providing a survey of the literature and efforts pertaining to the verification and validation of agent-based models. The chapter closes with insights pertaining to agent-based modeling, the verification and validation of agent-based models, and potential directions for future research.

scholarly journals Dyoram's Representation Using a Mosaic Image

2009 ◽  
Vol 8 (3) ◽  
pp. 1-4 ◽  
Author(s):  
Alberto Ochoa ◽  
Arturo Hernández ◽  
S. Jöns ◽  
Fernando Montes ◽  
Julio Ponce ◽  
...  
Keyword(s):  
Evolutionary Process ◽  
Social Characteristics ◽  
Cultural Paradigms ◽  
Mosaic Image ◽  
Generic Term ◽  
The Social ◽  
Social Data Mining ◽  
Structured Knowledge ◽  
Cultural Similarity ◽  
Bioinspired Algorithms

Evolving Optimization is a generic term used to make reference to the solution of planned and implemented computational problems with base in models of an evolutionary process. Most of the bioinspired algorithms, propose biological paradigms, and the concepts of natural selection, mutation, migration and reproduction or using other techniques are with a novel paradigm as Bacterial Foraging , which is based on only a small part in biology, and focus more on a branch of which this is biotechnology. Nevertheless, other paradigms exist that can be adopted in the creation of evolutionary algorithms. Many environment problems involve not structured knowledge, which can be considered from the perspective of cultural paradigms; the cultural paradigms offer an ample range of categorized models that do not know the possible solutions to the problem - a situation common in the real world. The intention of the present research is to apply the computational properties of the cultural technology; in this case of corroborating of them by means of Social Data Mining to propose the solution to a specific problem, adapted from the Literature about Social Modelling. Combined with this, we analyzed the location of a society represented with its starship with respect to the social and cultural similarity of its neighbors, in a form of popular representation denominated Diorama. The set of study conformed by 95 societies (each society with a starship documented in ) allowed to analyze the social characteristics without affecting the extreme total of the sense of the Mosaic Image which represents the Diorama (what this it represents of all of them), and gave the opportunity us to emulate the distances that separate to each one of them and as these are grouped with respect to cluster that they belong. Demonstrating that ideological, social and cultural characteristic exist whose approximate them and as well they move away them. By means of this information it is possible to predict the best visualization of a Mosaic Image which represent a diorama, redistributing to the starships that conform it, this paper tries to explain this representation of social behavior.

The Hitman Study

2010 ◽  
Vol 15 (2) ◽  
pp. 99-108 ◽  
Author(s):  
Christopher J. Ferguson ◽  
Stephanie M. Rueda
Keyword(s):  
Experimental Study ◽  
Young Adults ◽  
Aggressive Behavior ◽  
Video Game ◽  
Real Life ◽  
Mood Management ◽  
Video Game Play ◽  
Video Game Playing ◽  
Violent Video Game ◽  
The Social

This article explores commonly discussed theories of violent video game effects: the social learning, mood management, and catharsis hypotheses. An experimental study was carried out to examine violent video game effects. In this study, 103 young adults were given a frustration task and then randomized to play no game, a nonviolent game, a violent game with good versus evil theme (i.e., playing as a good character taking on evil), or a violent game in which they played as a “bad guy.” Results indicated that randomized video game play had no effect on aggressive behavior; real-life violent video game-playing history, however, was predictive of decreased hostile feelings and decreased depression following the frustration task. Results do not support a link between violent video games and aggressive behavior, but do suggest that violent games reduce depression and hostile feelings in players through mood management.

Pro linhvistychni pokaznyky vzayemodiyi mova – kulʹtura na prykladi analizu polʹsʹko- ukrayinsʹkoho pohranychchya XV-XIXst.

2020 ◽  
pp. 129-148
Author(s):  
Halyna Маtsyuk
Keyword(s):  
Social Relations ◽  
Native Speakers ◽  
Historical Memory ◽  
Linguistic Knowledge ◽  
Social Functions ◽  
Subject Field ◽  
Theoretical Concepts ◽  
Language And Culture ◽  
The Social ◽  
Polish Language

The article is devoted to the formation of a linguistic interpretation of the interaction of language and culture of the Polish-Ukrainian border territories. The material for the analysis includes nomic systems of Ukrainian and Polish languages, which are considered as a cultural product of interpersonal and interethnic communication and an element of the language system, as well as invariant scientific theory created in the works of Polish onomastics (according to key theoretical concepts, tradition of analysis, and continuity in linguistic knowledge). The analysis performed in the article allows us to single out the linguistic indicators of the interaction of language and culture typical for the subject field of sociolinguistics. These are connections and concepts: language-territory, language-social strata, language-gender, language-ethnicity, social functions of the Polish language, and non-standardized spelling systems. Linguistic indicators reveal the peculiar mechanisms of the border in the historical memory and collective consciousness, marking the role of languages in these areas as a factor of space and cultural marker and bringing us closer to understanding the social relations of native speakers in the fifteenth-nineteenth centuries.

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