ISSN : 2663-2187

Behavioral Ecology of Social Insects Investigating Collective Decision-Making and Division of Labor in Ant and Bee Colonies

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Dr. Koparde A. A, Mrs. Veer M. N., Dr. Bijoy Panda
ยป doi: 10.33472/AFJBS.6.Si2.2024.2250-2260

Abstract

Social insects, such as ants and bees, exhibit complex behaviors that provide insight into the principles of collective decision-making and division of labor. This study examines the mechanisms underlying these behaviors in ant and bee colonies, focusing on how individual actions contribute to colony-level organization and efficiency. We explore the roles of communication, environmental cues, and genetic predispositions in shaping these behaviors. Using a combination of field observations, controlled experiments, and mathematical modeling, we investigate how colonies allocate tasks among individuals and make collective decisions regarding resource allocation, foraging, and nest-site selection. Our findings indicate that both ants and bees rely on decentralized systems where simple rules followed by individuals lead to sophisticated colony-level outcomes. Pheromones and other chemical signals play a crucial role in coordinating activities and maintaining social cohesion. For example, in ant colonies, the distribution of foraging tasks is influenced by pheromone trails, while in bee colonies, the waggle dance communicates the location of food sources. Additionally, the genetic diversity within colonies enhances their ability to adapt to changing environmental conditions, promoting resilience and survival. This research highlights the importance of understanding the interplay between individual and collective behaviors in social insects. By uncovering the fundamental principles that govern these systems, we can gain insights into broader biological processes and apply these concepts to artificial intelligence and robotics. The study of collective decision-making and division of labor in social insects not only advances our knowledge of behavioral ecology but also offers practical applications in optimizing human-designed systems

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