COOPERATIVE COEVOLUTION OF MULTI-AGENT SYSTEMS
COOPERATIVE COEVOLUTION OF MULTI-AGENT SYSTEMS
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Division of labor in a group of robots inspired by ants' foraging behavior
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Computer
Genetic team composition and level of selection in the evolution of cooperation
IEEE Transactions on Evolutionary Computation
Design of evolvable computer languages
IEEE Transactions on Evolutionary Computation
Hi-index | 0.00 |
We use digital evolution to study the division of labor among heterogeneous organisms under multiple levels of selection. Although division of labor is practiced by many social organisms, the labor roles are typically associated with different individual fitness effects. This fitness variation raises the question of why an individual organism would select a less desirable role. For this study, we provide organisms with varying rewards for labor roles and impose a group-level pressure for division of labor. We demonstrate that a group selection pressure acting on a heterogeneous population is sufficient to ensure role diversity regardless of individual selection pressures, be they beneficial or detrimental.