![]() The ‘Behavior Space’ feature of NetLogo allows the user to map performance and market share in space of all 16 control ‘dimensions’. This simple agent-based model has 16 settable parameters. The agent-based model approach to the exploration / exploitation dilemma allows for a massively complex model to be developed through relatively simple programming. The NetLogo Exploration / Exploitation agent-based model has been designed for the observation of how different resource allocation strategies can affect performance and market share in differing consumer markets and competition environments. Using NetLogo software, this paper aims to disclose the result of an Agent Based Simulation model which showed when and why a person will or will not re-tweet a message that he/she received from his/her friends or social networks that he / she belongs to by applying the concept of Diffusion of Innovations. On the other hand, the independent and autonomous behavior of members in a social network such as Twitter satisfies the characteristics of Agent Based Simulation model. In the case of new product introduction using Twitter, an online survey has been conducted to obtain the factors which affect the decision and timing to retweet the message or not. There are some factors which affect the decision to retweet or not a message, besides the speed in forwarding the messages which believed to follow the Diffusion of Innovations model. Using Twitter, a person has the choice whether or not to forward (re-tweet) the message from/to his/her friends or social networks that he/she belongs to. Working very much the same as a blog, it has been used widely by businesses as well as individuals to share information, introduce new product/idea, etc. In less than 4 years since its introductions, Twitter has become the fastest growing social networking tool. The results show that our theoretical model can explain the case well and provide meaningful guidance to construct efficient organization system.KeywordsResource characteristicTransaction characteristicOrganization systemInstitutional efficiencyProduction and marketing mode Accordingly, this paper established an agriculture organization system decision model and applied it to agricultural industry of Laoshan district in Qingdao. Given that PMM are determined, organization system rests with institutional efficiency. However, resource characteristic is also important for production and marketing modes. ![]() Different transaction types correspond to different PMM. This paper derived eight types of transaction characteristics and four broad categories of PMM. The volume ends with conclusions based on the results of the experiments presented.AbstractThe purpose of this study is to explore the determinants of agriculture organization system and the relationships among resource characteristic, transaction characteristic, agriculture organization system and production and marketing mode (PMM). This e-book explains the topic in a systematic manner, starting with an introduction for readers followed subsequently by methodology and implementation using NetLogo. The 11 models presented in this text simulate the simultaneous operations of several agents in an attempt to recreate and predict complex economic phenomena. The Monte Carlo method is also used in this e-book to introduce random elements. MAM combines elements of game theory, complex systems, emergence and evolutionary programming. This technique uses a computer model to simulate the actions and interactions of autonomous entities in a network, in order to analyze the effects on the entire economic system. Problems of economic science can be solved using multi-agent modelling (MAM). The analysis of experiments results and interpretation from an economic point of view.Īgent-based Computational Economics using NetLogo explores how researchers can create, use and implement multi-agent computational models in Economics by using NetLogo software platform. Using a software platform (6) The operational validation of computerized model (7) The precise tasks of the model (3) Building the conceptual model (4) Validation ofĬonceptual model (5) Transformation of conceptual model in a computerized model The analysis of pure theories of Economics (2) Defining the objectives of research and In order to validate an agent-based model, we must follow the following steps: (1) The main construction blocks of any agent-based computational model are theįollowing: the set of agents (A), the initializations (I) and the simulation specifications ![]() Theory and applications of agent-based systems determined in the last years has broughtĪ real revolution regarding the modelling of complex systems in the field of Economics. Regarding the field of Agent-based Computational Economics. In this introductory chapter, we offer our readers the essential information
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