Context:

Thomas Malone defined collective intelligence at the opening of the MIT Center for Collective Intelligence in 2006 as "groups of people who collectively do things that appear intelligent" (Glenn 2015). The center indicates that its mission is to investigate How can people connect? so that, collectively, they act smarter than individuals individually. This research designed a multiagent simulation model whose objective was to represent the collective intelligence (CI) genome proposed by (Malone et al. 2010), in an environment with emergent situations in which a hierarchical organization coexists, in order to explore different configurations of external variables. and internal to organizations that allow maximizing the use of resources.

Methodology:

A multiagent simulation model is proposed that includes stochastic elements to model the behavior of agents and their interactions, which are not known exactly. The proposed methodology presents five stages: 1) conceptualization, 2) definition of requirements, 3) analysis and design, 4) coding, and 5) testing and validation. For the verification, tuning and validation process of the simulation model designed, two of the genomes documented by (Malone et al. 2010) were represented in the Wikipedia case. The first corresponds to the edition of individual articles, this genome was used to adjust the variables that intervene in the model in order to maximize the use of resources in organizations; the second genome corresponds to how an article is included in the general collection of Wikipedia, this case was used to determine the degree to which the simulation model designed corresponds to the representation of the methodological model proposed by (Malone et al. 2010).

Results:

Considering that the Wikipedia cases documented by (Malone et al. 2010) are theoretical cases, it was defined that the situation to be analyzed in the contrasting of the methodological model with the designed simulation model was the intelligent collective behavior in the organization that contained the genome of CI, this in terms of making better use of available resources to take advantage of ideas-opportunities or mitigate threats. From the tests carried out to determine the degree of correspondence between the models, it was evidenced that in 70% of them the percentage of use and mitigation was above 50%, hence it was concluded that the simulation model designed corresponded to the representation of the methodological model of the CI genome proposed by (Malone et al. 2010), in accordance with the business case studies.

Conclusions:

The simulation model designed contributes to the understanding of the methodological model and to the exploration of different configurations of the CI genome that allow to evaluate characteristics that the intelligent behavior of a business organization grants.