Abstract
Purpose Evolution can be easily observed in nature world, and this phenomenon is a research hotspot no matter in natural science or social science. In crowd science and technology, evolutionary phenomenon exists also among many agents in crowd network systems. This kind of phenomenon is named as crowd co-evolutionary, which cannot be easily studied by most existing methods for its nonlinearity. This paper aims to proposes a novel simulation framework for co-evolution to discover improvements and behaviors of intelligent agents in crowd network systems. Design/methodology/approach This paper introduces a novel simulation framework for crowd co-evolutions. There are three roles and one scene in the crowd. The scene represented by a band-right to a ringless diagram. The three roles are unit, advisor and monitor. Units find path in the scene. Advisors give advice to units. Monitors supervise units’ behavior in the scene. Building a network among these three kinds member, influencing individual relationships through information exchange, and finally enable the individual to find the optimal path in the scene. Findings Through this simulation framework, one can record the behavior of an individual in a group, the reasons for the individual's behavior and the changes in the relationships of others in the group that cause the individual to do so. The speed at which an individual finds the optimal path can reflect the advantages and disadvantages of the relationship change function. Originality/value The framework provides a new way to study the evolution of inter-individual relationships in crowd networks. This framework takes the first-person perspective of members of the crowd-sourced network as the starting point. Through this framework, the user can design relationship evolution methods and mathematical models for the members of different roles, so as to verify that the level of public intelligence of the crowd network is actually the essence of the rationality of the membership relationship.
Highlights
Since Darwin proposed the theory of evolution, the word “evolution” has become familiar to the general public
Evolutionary phenomenon exists in intelligent agents in the crowd network system
Individual decisions are made by themselves and advices given by advisors
Summary
Since Darwin proposed the theory of evolution, the word “evolution” has become familiar to the general public. Lorenz et al (2011) proved the diversity of group views decreases as groups exchange information In another word, public opinion in social media or society has the possibility of influencing different individuals' thinking, preferences, opinions and decisions to varying degrees. We propose the following hypothesis: The relationship between intelligent individuals reflects the overall intelligence level of this crowd-intelligence network. Two crowdintelligence networks have same individuals; more reasonable the relationship between individuals is, higher the overall intelligence level the crowd-intelligence network has For verifying these two hypotheses, we propose using simulation to simulate activities of the intelligent individuals’ in crowd network. Related work Individuals who can adapt to environment better grow up always This criterion is regarded as a norm in the field of biological sciences and in the field of social sciences. Economics and computer bionics derived from biology have all studied the phenomenon of evolution
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