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The Hive is Hungry: Exploring Bee Colony Search and Foraging Behavior through Simulation Peter Bailis, Peter Lifland Harvard Robobees 11 Dec 2009.

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Presentation on theme: "The Hive is Hungry: Exploring Bee Colony Search and Foraging Behavior through Simulation Peter Bailis, Peter Lifland Harvard Robobees 11 Dec 2009."— Presentation transcript:

1 The Hive is Hungry: Exploring Bee Colony Search and Foraging Behavior through Simulation Peter Bailis, Peter Lifland Harvard Robobees 11 Dec 2009

2 Overview Bee Colony Foraging Simulator – Behavior model derived from Seeley – Several simplifying assumptions: 2D world, no real physics, etc. – Many modeled features: Bee waggle dance communication semantics, flight inaccuracy, etc. Focus on scouting, food source allocation

3 Benefits CS182 (AI w/ Professor Nagpal) Final Project Colony Team – Reasonably complete search algorithm simulator – Robust platform for testing—many knobs – Potentially adaptable to helicopter simulation Search strategy analysis – Several surprising results, despite relatively simple agent behavior

4 How do bees work? Bees “advertise” food sources they've found to other bees through a “waggle dance” performed in the hive. – This is similar to local beam search. – Better source == longer dance Approximately 10% of bees without an assigned food source scout for new food sources “Optimizes” for maximum food gathered per energy

5 Our Approach Build simulator in Python (appx. 800 lines) Test scout strategies (exact methods are not known) – Random walk, random points, random world traversal, spirals Test food heuristics – Real bees basically choose randomly from dancing bees – What if we perturb this? Closest food, Greatest quantity of food, Furthest food, Balance of quantity and distance?

6 Demo

7 Spirals

8 Random Walk

9 Distance-Food Selection Metric

10 Furthest Flower Selection Metric

11 Results, cont. ProbabilisticBest FlowerClosest FlowerFurthest Flower Dist-Quantity Metric Random Walk64.68%82.85%79.77%82.46%80.47% Spirals96.31%100.00%97.17%98.09%95.79% Traverse World71.63%71.52%80.72%75.44%74.72% Random Points96.50%95.76%92.65%87.38%99.91% ProbabilisticBest FlowerClosest FlowerFurthest Flower Dist-Quantity Metric Random Walk39.65%69.35%75.14%74.17%84.27% Spirals82.75%85.14%80.41%89.98%100.00% Traverse World87.11%95.45%93.98%94.99%93.50% Random Points82.99%88.91%84.72%89.97%88.80% Normal World Food Scarce World

12 Fin Open source: http://code.google.com/p/beesim

13 References robobees.seas.harvard.edu Seeley, Thomas D. Wisdom of the Hive: The Social Physiology of Honey Bee Colonies. Cambridge, Mass: Harvard UP, 1995. Print.


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