Collective Intelligence Heuristic: An Experimental Evidence
نویسندگان
چکیده
The main intrest of this study was to investigate the phenomenon of collective intelligence in an anonymous virtual environment developed for this purpose. In particular, we were interested in studing how dividing a fixed community in different group size, which, in different phases of the experiment, works to solve tasks of different complexity, influences the social problem solving process. The experiments, which have involved 216 university students, showed that the cooperative behaviour is stronger in small groups facing complex tasks: the cooperation probability negatively correlated with both the group size and easiness of task. Individuals seem to activate a collective intelligence heuristics when the problem is too complex. Some psychosocial variables were considered in order to check how they affect the cooperative behaviour of participants, but they do not seem to have a significant impact on individual cooperation probability, supporting the idea that a partial de-individualization operates in virtual environments.
منابع مشابه
Clustering and Memory-based Parent-Child Swarm Meta-heuristic Algorithm for Dynamic Optimization
So far, various optimization methods have been proposed, and swarm intelligence algorithms have gathered a lot of attention by academia. However, most of the recent optimization problems in the real world have a dynamic nature. Thus, an optimization algorithm is required to solve the problems in dynamic environments well. In this paper, a novel collective optimization algorithm, namely the Clus...
متن کاملHeuristic Collective Learning for Efficient and Robust Emergence of Social Norms
In multiagent systems, social norms is a useful technique in regulating agents’ behaviors to achieve coordination or cooperation among agents. One important research question is to investigate how a desirable social norm can be evolved in a bottom-up manner through local interactions. In this paper, we propose two novel learning strategies under the collective learning framework: collective lea...
متن کاملCollective Bin Packing: an Active Learning Exercise*
Active learning has become an important part of effective computer science pedagogy. Active learning helps to keep students engaged in the learning process and is useful at all levels of computer science education from introductory courses on programming through more advanced upper level topics and graduate level coursework. In this paper, we present an active learning exercise that we develope...
متن کاملIdentifying overlapping communities using multi-agent collective intelligence
The proposed algorithm in this research is based on the multi-agent particle swarm optimization as a collective intelligence due to the connection between several simple components which enables them to regulate their behavior and relationships with the rest of the group according to certain rules. As a result, self-organizing in collective activities can be seen. Community structure is crucial...
متن کاملNew Approach for Solving Software Project Scheduling Problem Using Differential Evolution Algorithm
Software Project Scheduling Problem (SPSP) is one of the most critical issues in developing software. The major factor in completing the software project consistent with planned cost and schedule is implementing accurate and true scheduling. The subject of SPSP is an important topic which in software projects development and management should be considered over other topics and software project...
متن کامل