Cooperation in the Prisoner's Dilemma Game Based on the Second-Best Decision

In the research addressing the prisoner's dilemma game, the effectiveness and accountableness of the method allowing for the emergence of cooperation is generally discussed. The most well-known solutions for this question are memory based iteration, the tag used to distinguish between defector and cooperator, the spatial structure of the game and the either direct or indirect reciprocity. We have also challenged to approach the topic from a different point of view namely that temperate acquisitiveness in decision making could be possible to achieve cooperation. It was already shown in our previous research that the exclusion of the best decision had a remarkable effect on the emergence of an almost cooperative state. In this paper, we advance the decision of our former research to become more explainable by introducing the second-best decision. If that decision is adopted, players also reach an extremely high level cooperative state in the prisoner's dilemma game and also in that of extended strategy expression. The cooperation of this extended game is facilitated only if the product of two parameters is under the criticality. In addition, the applicability of our model to the problem in the real world is discussed.Cooperation, Altruism, Agent-Based Simulation, Evolutionary Game Theory

An agent-based model to study customers' engagement with brands from a service-dominant logic perspective

We present an Agent-based Model to study customers' engagement with brands from a Service-Dominant Logic perspective. Customer Engagement has gained attention recently in the study of customer loyalty as a process that enables to understand and measure the impact of the depths of customers emotional responses to consumption situations on their intention to retain with a particular brand. However, there is no adequate research that deeply investigate the process of engagement, especially in dynamic, competitive and complex market environments. We address this research gap by creating an agent-based artificial market model. In doing so, we base our model on Service- Dominant Logic, which offers a novel lens to look at markets and their interactions and on the customer engagement process model of Bowden to implement customers engagement with a brand. This paper basically presents a logical discussion on the formulation of the model and some initial outcomes

Product Development Teams Formation:Effects of Organizational and Product Related Factors

While teams are an essential means for developing products in organizations, how to assemble product development teams remains largely unexplored. According to the social network research, teams might be arranged in either closely connected or sparse structures. Conceptualizing a product development project as collective problem solving endeavour, we develop a computational model of these projects in which a number of designers, who are arranged in teams with a particular structure, conduct search over an NK(C) performance landscape. Simulation of this model enables us to compare the design performance of teams with either closely connected or sparse structures. Our results indicate that how effectively organizations can integrate design solutions determines which of these two structures results in higher development performance. In addition, with our simulation model, design performance of strategies that employ both closely connected and sparse teams, is contrasted with that of those policies which solely use either of these structures. We find that, regardless of product development project integration capability, strategies that simultaneously utilize both closely connected and sparse teams are likely to achieve higher development performance than the other strategies that only use teams with one particular structure. We discuss the implications of our findings in managing product development project

Agent-Based Simulation on Women's Role in a Family Line on Civil Service Examination in Chinese History

In this paper, following our previous work on civil service examinations in imperial China, we investigate women's role in a Chinese historical family line using an agent-based simulation (ABS) model with a grid oriented genetic algorithm (GOGA) framework. We utilize a GOGA framework, because our ABS had such large parameter spaces with real values that it required much greater computational resources. First, we studied the genealogical records. Second, based on that study, we implemented an agent-based model with the family lines branched out into two clusters to compare different family norms. Third, using an "inverse simulation" technique, we optimized the agent-based model in order to fit the simulation profiles to real profile data with real-coded GA. From these intensive experiments, we have found that (1) The combined influence of the father, uncle, mother and the aunt has important significance in maintaining a successful family norm, and (2) a particular role of the aunt to pass it on as well.Agent-Based Simulation, Grid Oriented Genetic Algorithm, Inverse Simulation, Family Norm, Civil Service Examination

The impact of human relationship on bankruptcy-related evolution of inter-firm trade network

This paper studies the impact of human relationship on the evolution of inter-firm trade network emerged from bankruptcy. Based on the extracted properties of Japanese firm data in 10 years, we propose an agent-based model and conduct series of simulation experiments to evaluate several aspects of human relationship effects. The simulation results indicate that human relationship delays the bankrupt spread and promotes the average performance of firms. By examining different scenarios, we found the influential features of human relationship that are likely to help firms to survive in the bankrupt propagation process