Collective decision making, leadership, and collective intelligence: Tests with agent-based simulations and a Field study

2016 ◽  
Vol 27 (2) ◽  
pp. 218-241 ◽  
Author(s):  
Kristie A. McHugh ◽  
Francis J. Yammarino ◽  
Shelley D. Dionne ◽  
Andra Serban ◽  
Hiroki Sayama ◽  
...  
Keyword(s):  
Decision Making ◽  
Field Study ◽  
Collective Intelligence ◽  
Collective Decision ◽  
Intelligence Tests ◽  
Collective Decision Making ◽  
Agent Based ◽  
Agent Based Simulations

scholarly journals Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Shelley D. Dionne ◽  
Hiroki Sayama ◽  
Francis J. Yammarino
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Network Structure ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Theoretic Approach ◽  
Agent Based ◽  
Social Network Structure ◽  
Agent Based Simulations ◽  
Simulation Results

Collective, especially group-based, managerial decision making is crucial in organizations. Using an evolutionary theoretic approach to collective decision making, agent-based simulations were conducted to investigate how human collective decision making would be affected by the agents’ diversity in problem understanding and/or behavior in discussion, as well as by their social network structure. Simulation results indicated that groups with consistent problem understanding tended to produce higher utility values of ideas and displayed better decision convergence, but only if there was no group-level bias in collective problem understanding. Simulation results also indicated the importance of balance between selection-oriented (i.e., exploitative) and variation-oriented (i.e., explorative) behaviors in discussion to achieve quality final decisions. Expanding the group size and introducing nontrivial social network structure generally improved the quality of ideas at the cost of decision convergence. Simulations with different social network topologies revealed collective decision making on small-world networks with high local clustering tended to achieve highest decision quality more often than on random or scale-free networks. Implications of this evolutionary theory and simulation approach for future managerial research on collective, group, and multilevel decision making are discussed.

Structural Coupling of Regulatory Elements and Reality Challenges

2020 ◽  
Vol 7 (2) ◽  
pp. 55-77
Author(s):  
Mirko Pečarič
Keyword(s):  
Decision Making ◽  
Interest Groups ◽  
Small Group ◽  
Collective Intelligence ◽  
Regulatory Elements ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Structural Coupling ◽  
Collective Wisdom ◽  
Individual Participation

Different realities are possible and thus also different decisions. They are based on predispositions faced with different challenges that people (do not) acknowledge. The research objective is to point at differences when the reality is based on the opinions of experts, public delivery deliberation, a small group of experts or committees, an individual who decides based on diverse inputs, a small group of experts that does the same, or on collective wisdom. This paper presents a way of independent managing of various perspectives that nevertheless can exhibit their symbiosis in collective opinions as one form of (collective) reality, here named as a “visa” approach of decision making. This paper, based on presented differences, systemic regulatory elements, and their challenges, presents them as synergies (structural coupling) in the form of collective decision making. Independent and individual participation based on collective intelligence can diminish the pressure of interest groups, lobbying, or other informal influences, and can better align various interests.

MODELLING Collective Decision-Making: Insights Into COLLECTIVE anti-predator Behaviors From AN Agent-Based APPROACH

2021 ◽  
pp. 104530
Author(s):  
Julia Watzek ◽  
Mark E. Hauber ◽  
Katharine M. Jack ◽  
Julie R. Murrell ◽  
Stacey R. Tecot ◽  
...  
Keyword(s):  
Decision Making ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Agent Based

scholarly journals Seasonality in communication and collective decision-making in ants

2014 ◽  
Vol 281 (1780) ◽  
pp. 20133108 ◽  
Author(s):  
N. Stroeymeyt ◽  
C. Jordan ◽  
G. Mayer ◽  
S. Hovsepian ◽  
M. Giurfa ◽  
...  
Keyword(s):  
Decision Making ◽  
Seasonal Changes ◽  
Collective Intelligence ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Ant Colonies ◽  
Temnothorax Albipennis ◽  
Eusocial Insects ◽  
Optimal Decisions ◽  
Independent Evaluation

The ability of animals to adjust their behaviour according to seasonal changes in their ecology is crucial for their fitness. Eusocial insects display strong collective behavioural seasonality, yet the mechanisms underlying such changes are poorly understood. We show that nest preference by emigrating Temnothorax albipennis ant colonies is influenced by a season-specific modulatory pheromone that may help tune decision-making according to seasonal constraints. The modulatory pheromone triggers aversion towards low-quality nests and enhances colony cohesion in summer and autumn, but not after overwintering—in agreement with reports that field colonies split in spring and reunite in summer. Interestingly, we show that the pheromone acts by downgrading the perceived value of marked nests by informed and naive individuals. This contrasts with theories of collective intelligence, stating that accurate collective decision-making requires independent evaluation of options by individuals. The violation of independence highlighted here was accordingly shown to increase error rate during emigrations. However, this is counterbalanced by enhanced cohesion and the transmission of valuable information through the colony. Our results support recent claims that optimal decisions are not necessarily those that maximize accuracy. Other criteria—such as cohesion or reward rate—may be more relevant in animal decision-making.

scholarly journals MAKING PRODUCTION DECISIONS USING THE EXPERT ASSESSMENT PROCEDURE

2020 ◽  
Vol 3 (1) ◽  
pp. 49-56 ◽  
Author(s):  
R. Ismailov
Keyword(s):  
Decision Making ◽  
Collective Intelligence ◽  
Collective Decision ◽  
Expert Assessment ◽  
Assessment Procedure ◽  
Collective Decision Making ◽  
Construction Site ◽  
Industrial Facilities ◽  
Expert Commission ◽  
Number Of Authors

the article deals with the problem of making industrial decisions related to the construction of industrial facilities. The scheme of decision-making is presented, with consideration of its individual components. A method of collective decision-making is proposed for use on a construction site. In general, the idea of using collective intelligence in terms of solving production tasks is justified from the position of objectivity of conclusions. The essence is to obtain estimates for the required number of properties, based on the experience and knowledge of a group of individuals united in a single commission. If the procedure for creating an expert commission and processing the results of expert evaluations is followed, this method becomes a tool for relatively quick decision-making. The research was based on the work of a number of authors who worked on the problem of expert decision-making methods. The article describes the main stages of applying expert assessment of properties. Various methods of acceptance, processing and output of the examination results at all stages of the survey are presented. A conceptual scheme for organizing an expert commission was created. A distinctive feature of the project is the setting of a task for specialists, in the interpretation necessary for production. This means that for the same task, the expert, depending on a number of circumstances, can give opposite conclusions. Based on the research, we can conclude that decision-making tools like the expert commission are in demand. This article shows how to use corrective formulas to turn a collective decision into a reasonable, objective answer to a question.

scholarly journals Benefits of collective intelligence: Swarm intelligent foraging, an ethnographic research

2014 ◽  
Vol 3 (4) ◽  
pp. 193-201
Author(s):  
Sivave Mashingaidze
Keyword(s):  
Decision Making ◽  
Swarm Intelligence ◽  
Collective Intelligence ◽  
Secondary Data ◽  
Ethnographic Study ◽  
Collective Decision ◽  
Ethnographic Research ◽  
Collective Decision Making ◽  
Wisdom Of Crowds ◽  
Business Sustainability

Wisdom of crowds; bees, colonies of ants, schools of fish, flocks of birds, and fireflies flashing synchronously are all examples of highly coordinated behaviors that emerge from collective, decentralized intelligence. This article is an ethnographic study of swarm intelligence foraging of swarms and the benefits derived from collective decision making. The author used using secondary data analysis to look at the benefits of swarm intelligence in decision making to achieve intended goals. Concepts like combined decision making and consensus were discussed and four principles of swarm intelligence were also discussed viz; coordination, cooperation, deliberation and collaboration. The research found out that collective decision making in swarms is the touchstone of achieving their goals. The research further recommended corporate to adopt collective intelligence for business sustainability

Sign in / Sign up

Export Citation Format

Share Document