Ant Colonies as a Model of Human Computation

@inproceedings{Moses2013AntCA,
  title={Ant Colonies as a Model of Human Computation},
  author={Melanie E. Moses and Tatiana Paz Flanagan and Kenneth Letendre and G. Matthew Fricke},
  booktitle={Handbook of Human Computation},
  year={2013}
}
In this chapter we describe how ant colonies are complex systems capable of computation, and we describe the manner in which ants use local information and behavior to produce robust and adaptive colonies. While there are key differences between ant colonies and collections of human agents, the nascent field of human computation can learn from the myriad strategies that ants have evolved for successful cooperation. The cooperative behaviors of ants reflect not just the particular physiology of… 
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References

SHOWING 1-10 OF 71 REFERENCES
Colony size, communication and ant foraging strategy
Some 12,000 ant species are known by now, with colony sizes ranging from a few individuals to 20,000,000 individuals. What constraints does this vast range of colony sizes place on the systems of
Synergy in ant foraging strategies: memory and communication alone and in combination
TLDR
It is found that ants' individual memory provided greater benefit in terms of increased foraging rate than pheromone trails in a variety of food distributions, and that genetic algorithms may be useful in finding an adaptive balance between individual foraging based on memory and recruitment based on communication.
Ants at Work - How an Insect Society Is Organized
TLDR
Deborah Gordon boldly contends that ant communication is a model of how brains, immune systems, and the natural world as a whole organize themselves, which has profound implications for anyone who is interested in how organizations work.
The Regulation of Ant Colony Foraging Activity without Spatial Information
TLDR
A simple stochastic model shows how the regulation of ant colony foraging can operate without spatial information, describing a process at the level of individual ants that predicts the overall foraging activity of the colony.
How ants turn information into food
TLDR
This work studies how desert seed harvesters use information to improve the rate they collect seeds, which contributes to the colony's fitness, through field studies and computer simulations.
Social evolution in ants
TLDR
An overview of the current state of scientific knowledge about social evolution in ants is presented and how studies on ants have contributed to an understanding of many fundamental topics in behavioural ecology and evolutionary biology is shown.
Self-organization in social insects.
TLDR
This description does not rely on individual complexity to account for complex spatiotemporal features that emerge at the colony level, but rather assumes that intractions among simple individuals can produce highly structured collective behaviours.
The organization of work in social insect colonies
TLDR
The pattern of interactions among ants as they move around can be seen as a kind of ad hoc, dynamical network and task allocation is the process that adjusts the numbers of workers engaged in each task in a way appropriate to the current situation.
Swarm Intelligence - From Natural to Artificial Systems
TLDR
This chapter discusses Ant Foraging Behavior, Combinatorial Optimization, and Routing in Communications Networks, and its application to Data Analysis and Graph Partitioning.
Individual versus social complexity, with particular reference to ant colonies
  • C. Anderson, D. McShea
  • Biology, Medicine
    Biological reviews of the Cambridge Philosophical Society
  • 2001
Insect societies – colonies of ants, bees, wasps and termites – vary enormously in their social complexity. Social complexity is a broadly used term that encompasses many individual and colony‐level
...
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2
3
4
5
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