The 4th SEFM Young Researcher's Speaker Series
Joint Workshop | 2013.9.11

Note: This workshop was jointly held with Hasegawa Lab in Graduate School of Agriculture and the Center for Experimental Research in Social Sciences, Hokkaido University.

Date & Time:2013.9.11 (Wed) 4pm-

Location: Hokkaido University Graduate School of Agriculture, room S31

Speaker: Dr. Takao Sasaki(Arizona State University)

Title: A hundred ants are better than one? Differences in decision making between individuals and groups

 

There are some benefits to communal living as opposed to individual living. This 
presentation will focus on the aspect of communal living known as "collective 
intelligence". Collective intelligence refers to the concept that a group of brains is 
superior to an individual brain because the group has better combined cognitive 
ability and is therefore better able to perform accurate decision making. However, in 
conventional studies of animal behaviour to date there have rarely been opportunities 
to compare the cognitive ability of a group with that of the individual. In this study 
a colony of Muneboso-ari ants were used to evaluate collective decision making. 
Social insects such as these which live in a harmonious group may be referred to as 
a “superorganism” due to the ability of the group to act as an individual. Taking into 
consideration this characteristic a psychological experiment was used to evaluate 
cognitive ability for both the colony and the individual and the decision making 
capabilities of each was measured. Consequently, the colony as a whole performed 
better than the individual in the following areas: 1) rational decision making, 2) larger 
cognitive capacity, and 3) delicate perception. However at the same time it was 
discovered that the individual displayed superior decision making capabilities to 
the colony under certain special circumstances. These results will be applied to the
evolution of communal living and the optimization of decision making capabilities, as 
well as the field of swarm robotics.