What is *Honeybee Democracy* by Thomas D. Seeley about?

*Honeybee Democracy* explores how honeybee swarms collectively choose new hive locations through decentralized decision-making. Thomas D. Seeley details their process of scouting, debating via "waggle dances," and reaching consensus via quorum sensing. The book draws parallels to human group dynamics, arguing that democratic principles—shared goals, diverse input, and minimized leadership—enhance collective intelligence.

Who should read *Honeybee Democracy*?

This book is ideal for biology enthusiasts, beekeepers, and professionals in leadership or organizational behavior. It appeals to readers interested in animal behavior, swarm intelligence, and applications of nature-inspired strategies for human decision-making. Seeley’s accessible writing bridges academic research and practical insights.

Is *Honeybee Democracy* worth reading?

Yes. Seeley combines decades of research with engaging storytelling, offering a unique lens into democratic systems in nature. Its lessons on collaborative decision-making are relevant to fields like business, education, and community planning, making it valuable beyond entomology circles.

How do honeybees choose a new hive location?

Scout bees search for sites, assess quality, and return to the swarm to perform waggle dances signaling their findings. Bees engage in debate by comparing dance intensity, then build a quorum at the best site. This decentralized process ensures efficient, error-resistant decisions.

What can humans learn from honeybee democracy?

Key lessons include fostering shared goals, encouraging open debate, diversifying solutions, and relying on majority rule. Seeley suggests minimizing leader influence to harness collective wisdom—principles applicable to corporate teams, nonprofits, and government bodies.

What is swarm intelligence in *Honeybee Democracy*?

Swarm intelligence refers to a group’s ability to solve complex problems through decentralized collaboration. Bee colonies exemplify this by pooling individual knowledge without centralized control, achieving outcomes superior to any single member’s input.

How does Seeley’s research impact modern beekeeping?

His insights help beekeepers manage swarms by understanding natural nest-site preferences, such as cavity size and insulation. This promotes sustainable practices that mimic bees’ evolutionary adaptations, reducing colony stress.

How do bees reach consensus in *Honeybee Democracy*?

After scouts advertise potential sites, bees independently evaluate options and aggregate support through dance debates. A quorum forms once a critical mass of scouts agrees, triggering the swarm’s move.

ミツバチの会議

トーマス・D・シーリー

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『ミツバチの会議』の概要

ミツバチがいかにして、ほぼ完璧な正確さで人生を左右する集団決定を下しているかをご覧ください。コーネル大学の生物学者シーリー氏による影響力のある研究は、ビジネス管理戦略に革命をもたらした集団の知恵を明らかにしています。私たちは、これら小さな合意形成の達人から、どのような驚くべき民主主義の原則を学ぶことができるでしょうか？世界中のマスター・ビーキーパー（熟練養蜂家）プログラムの必読書です。

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第1章

The Democracy of the Hive: Nature's Most Sophisticated Decision-Makers

In a world where democracy often seems messy and inefficient, one of nature's most remarkable creatures has perfected the art of collective decision-making. Honeybees, those humble insects we associate primarily with honey production and flower pollination, have evolved what may be the most sophisticated group decision process on the planet. Thomas Seeley's "Honeybee Democracy" has become a cult favorite among tech entrepreneurs, organizational psychologists, and political scientists since its publication, with figures like Twitter co-founder Jack Dorsey citing it as essential reading for understanding how to build effective organizations. Beyond Silicon Valley boardrooms, this book has transformed how scientists understand collective intelligence across species. What makes this work so compelling is not just its meticulous science, but how it reveals that the principles underlying effective democracy were perfected by insects millions of years before humans ever held their first vote.

第2章

The Superorganism: A Colony as a Single Living Entity

When we look at a honeybee colony, we're not merely seeing a collection of individual insects-we're witnessing what biologists call a "superorganism." This term isn't just poetic language; it describes a biological reality where thousands of individual bees function together as a single living entity with remarkable physiological integration. Unlike the popular misconception that the queen "rules" the hive, she actually serves primarily as the colony's reproductive organ, laying up to 1,500 eggs daily. The true governance happens collectively among the worker bees, who are all female daughters of the queen. These workers perform all essential colony functions, from foraging and defense to temperature regulation and decision-making. The superorganism concept becomes most evident in how the colony maintains homeostasis. Despite external temperatures that might fluctate from below freezing to scorching heat, worker bees maintain the brood nest at a precise 34-36C-as stable as our own body temperature. They accomplish this through coordinated behavior: during cold periods, workers form a tight cluster and generate heat by isometrically contracting their flight muscles; during hot weather, they collect water and fan their wings to create evaporative cooling. This integration extends to other physiological processes. The colony circulates resources through food exchange between workers, maintains respiratory gas balance through coordinated ventilation, and even mounts immune responses against pathogens through behaviors like removing diseased brood and collecting antimicrobial plant resins called propolis. Perhaps most impressive is how the colony survives winter. Unlike most cold-climate insects that hibernate individually, honeybees remain active year-round as a functioning superorganism. They form a tight, basketball-sized cluster with the queen at the center, generating about 40 watts of heat-comparable to a small light bulb. This requires massive food reserves-at least 20 kilograms of honey-representing over one million foraging trips and billions of flower visits during the brief summer nectar flows. The annual cycle reveals another remarkable adaptation. Shortly after winter solstice, while snow still covers the ground, the colony begins rearing new bees in the warm cluster core. By early spring, what began as just a hundred cells of developing brood grows to over a thousand, allowing the colony to reach full strength of 20-30 thousand individuals by late spring-precisely when flowering plants begin their most abundant blooming period. This synchronization with environmental cycles demonstrates the superorganism's sophisticated adaptation to its ecological niche.

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『ミツバチの会議』の一語一語が音声に合わせてリアルタイムでハイライトされ、自然に読み進められます。

第3章

The Miracle of Swarming: How Colonies Reproduce

If you've ever witnessed thousands of honeybees suddenly pouring from a hive, forming a buzzing cloud in the air before clustering on a nearby tree branch, you've seen one of nature's most dramatic reproductive events. This is swarming-the honeybee colony's method of reproduction. Unlike most animals that reproduce as individuals, honeybee colonies reproduce as entire units. The colony functions as a hermaphrodite, possessing both male and female reproductive powers. The male propagules are drone bees, which function like pollen grains in plants. The female propagules are new queens, but remarkably, these queens aren't released "naked" like drones. Instead, they're packaged within protective swarms of about ten thousand worker bees-comparable to how apple trees enclose egg cells within protective fruits. The swarming process begins in spring after several weeks of favorable weather and abundant food collection. The colony initiates queen rearing by constructing special "queen cups"-inverted beeswax bowls along comb edges. The existing queen lays eggs in these cups, which will develop into new queens. Meanwhile, the mother queen undergoes remarkable physiological changes: workers reduce her feeding, causing her egg production to decline and her abdomen to shrink. They also begin mildly harassing her with "shaking behavior," forcing her to keep moving and lose about 25% of her body weight, putting her into "flying trim." The workers prepare differently-stuffing themselves with honey until their body weight increases by about 50%, creating food reserves for their journey. Their wax glands become hypertrophied in preparation for intense comb building at the new site. Most workers become notably lethargic before swarming, forming clusters inside and outside the hive-"the calm before the swarm." When conditions are right-typically when developing queens reach the pupal stage and weather is favorable-scout bees trigger the swarm's departure through specialized signals. They perform "worker piping"-pressing against other bees while vibrating at 200-250 Hz, sounding like a racing car engine-telling nestmates to warm their flight muscles to 35C. As piping intensifies, scouts eventually switch to "buzz-runs," bulldozing through the hive with wing bursts, signaling "Time to go!" This triggers the explosive departure of the prime swarm-about 10,000 bees and the mother queen-forming a cloud 10-20 meters across before settling on a nearby branch. There they form a beard-shaped cluster while scouts search for and democratically select their permanent home-a process that can take hours or days depending on how quickly suitable sites are found. Back in the parent nest, a few thousand workers remain with queen cells and brood. When the first virgin queen emerges, she announces herself with "tooting" signals. If the colony has rebounded in strength, workers may prevent this queen from destroying remaining queen cells, leading to secondary "afterswarms" with virgin queens. This process may repeat until the colony becomes too weak to support further swarming, at which point workers allow remaining queens to emerge freely, leading to deadly combat until only one survives.

第4章

The Perfect Home: What Bees Look For in Real Estate

Like meticulous home buyers, honeybees have specific criteria when selecting their dwelling places. Despite humans' 4,400-year history of beekeeping, dating back to ancient Egypt around 2400 BC, the bees' natural habitat preferences remained largely unknown until recently. This knowledge gap persisted because beekeepers focused on designing hives that served human purposes rather than understanding what bees naturally prefer. In 1975, Thomas Seeley began studying this question by examining wild honeybee colonies living in trees. Working with former logger Herb Nelson, he located and examined 21 wild colonies in the forests of New York state. The process was methodical if somewhat dangerous: before dawn, they would treat nest entrances with cyanide powder to kill the colonies, allowing them to safely fell the trees and extract the nest sections for detailed examination. The findings were surprising. Wild colonies occupied much smaller cavities than beekeeper-provided hives-averaging only 45 liters (41 quarts) in volume, merely one-quarter to one-half the space of typical hives. These natural cavities were typically tall and cylindrical, about 20 centimeters (8 inches) in diameter and 150 centimeters (60 inches) tall. None occupied spaces smaller than 12 liters, possibly indicating a minimum threshold for winter honey storage. Further research revealed that wild colonies typically nested much higher above ground than previously thought-at an average height of 6.5 meters (21 feet). This corrected an earlier sampling bias where more easily spotted ground-level nests were overrepresented in the data. To determine precisely what bees prefer, Seeley conducted extensive experiments using over 200 artificial nest boxes placed throughout Tompkins County, New York. Each group of boxes tested one nest-site preference by offering choices between boxes identical except for one variable. For instance, to test entrance size preference, he paired boxes with either typical (12.5 square centimeters) or larger-than-usual (75 square centimeters) entrances. The results revealed clear preferences: bees favored nest sites with small entrances facing south, positioned high above ground and opening at the bottom of the cavity. They preferred cavities of about 40 liters-approximately wastebasket-sized-especially those already containing combs from previous colonies. These preferences make evolutionary sense: small entrances are defensible and help regulate temperature; high entrances reduce predator access; south-facing entrances provide solar warming for foragers; and pre-built combs save tremendous energy-approximately 7.5 kilograms (16 pounds) of honey that would otherwise be consumed producing wax for new combs. Scout bees assess potential nest sites through thorough inspections. A discovery inspection takes 37 minutes on average, comprising 10-30 journeys inside the cavity. Inside, scouts spend 75% of their time rapidly walking across interior surfaces, systematically exploring the cavity and covering over 60 meters by inspection's end. Experiments revealed that scouts measure cavity volume primarily by walking, since natural tree cavities are typically too dark for visual assessment. When forced to walk more to circumnavigate a cavity, they recruited more additional scouts, indicating they perceived it as suitably large. Every step a scout takes appears to be a measurement, with the extensive walking measuring surface area while short hopping flights potentially measure mean free path length-together providing a reliable volume estimate.

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第5章

The House-Hunting Process: Democracy in Action

When a honeybee swarm must choose a new home, they practice what political scientists would call direct democracy-where individuals participate personally in decision-making rather than electing representatives. The process begins when scout bees-typically experienced foragers who switch roles during swarming-fly out from the temporary cluster to explore the surrounding landscape for potential dwelling places. Martin Lindauer first documented this democratic process in the early 1950s by observing "dirty dancers" on swarm surfaces-bees covered in dust, soot, or debris performing waggle dances. Unlike typical forager-dancers, these bees carried no pollen or nectar but were advertising potential nesting sites they'd found. Initially, scouts report numerous candidate sites, with minimal support for each location. This exploration phase ensures the swarm considers a wide range of options-typically 10-24 different potential homes across a 70-square-kilometer area. Each scout independently evaluates sites she discovers, measuring them against the colony's stringent criteria for cavity volume, entrance size, height above ground, and other factors. Upon returning to the swarm, scouts perform waggle dances whose intensity directly correlates with their assessment of site quality. A scout who finds an excellent cavity performs strong dances averaging 35 circuits lasting 85 seconds, while those reporting mediocre sites perform weaker dances averaging only 14 circuits lasting 45 seconds. This difference in dance intensity creates a built-in bias toward superior sites. As the debate progresses, support gradually concentrates on the most promising options. Through a process of positive feedback, better sites accumulate more dancing supporters more quickly. Meanwhile, support for inferior sites naturally fades as scouts automatically reduce their dance enthusiasm over repeated visits-each scout performs approximately 15 fewer dance circuits per trip regardless of site quality. Since scouts from superior sites begin with more vigorous dances, their advertising persists longer before fading away. Remarkably, this process doesn't require scouts to directly compare different sites. Unlike humans who typically abandon positions only after learning better ones, bees automatically "retire" from the debate after a period, allowing fresh scouts to take over. This "retire-and-rest" mechanism, rather than a "compare-and-convert" approach, enables the gradual shift toward consensus without requiring individual bees to possess global knowledge of all options. Through careful experiments, Seeley demonstrated that swarms consistently solve the "best-of-N" choice problem optimally. In trials where five nest boxes were arranged in a fan array-one offering a superior 40-liter cavity and four offering mediocre 15-liter cavities-swarms chose the superior site in four out of five trials, despite it never being discovered first. The probability of this outcome occurring by chance is only 0.0064 (1 in 156), demonstrating the effectiveness of the bees' democratic decision-making process.

第6章

The Launch: Preparing for Takeoff

Before a swarm can take flight to its chosen home, it must solve a crucial physiological challenge: warming up thousands of cool, immobile bees. While a swarm maintains its core at 34-36C, the mantle (outer layer) bees conserve energy by allowing their temperatures to drop just above the 17C "chill torpor" threshold. These cool outer bees cannot fly until their flight muscles reach 35C. About an hour before departure, a distinctive high-pitched piping sound begins pulsing through the cluster. Each sound pulse lasts about a second with a rising pitch like a race car accelerating. This piping is produced when scout bees activate their flight muscles while pressing against other bees, creating vibrations that pass through the cluster. The rising pitch comes from scouts pulling their wings together, stiffening their thorax and raising its resonant frequency. Experiments confirmed that piping directly stimulates flight preparation. When researchers prevented piping scouts from contacting one group of mantle bees while allowing access to another, the isolated bees failed to warm up and couldn't fly when released. The piping gradually intensifies over 90 minutes, becoming continuous and loud in the final 30 minutes as multiple bees pipe simultaneously. While piping signals prepare bees for flight, the actual synchronized takeoff is triggered by another behavior called buzz-running. Buzz-runners dash across the swarm cluster with wings outspread and buzzing noisily, sometimes running over other bees' backs, sometimes bulldozing between them. Video surveillance revealed that buzz-runners are actually the same scout bees who produce piping signals, but they gradually shift from piping to buzz-running as departure time approaches. In the final five minutes before takeoff, over 80% of running bees perform buzz-runs. How do scout bees know when to start producing these signals? Research shows they use "quorum sensing" rather than "consensus sensing." Instead of monitoring the relative support for different sites at the swarm cluster, scouts count the number of other scouts present at the chosen nest site. When approximately 20-30 scouts are simultaneously present at a site (representing about 75 scouts total since each spends only part of their time there), they begin returning to the swarm to initiate departure preparations. This quorum approach offers two key advantages: it's simpler, as scouts don't need to poll all dancers across the swarm cluster, and it strikes an optimal balance between speed and accuracy. Using a quorum allows preparations to begin as soon as enough scouts approve one site, even while others are still evaluating alternatives. Meanwhile, the substantial quorum size ensures accuracy by requiring independent verification from many scouts. At precisely the moment the entire swarm reaches 37C (99F), it launches into flight-a spectacular event where thousands of bees take to the air simultaneously with a thunderous roar, forming a cloud that immediately begins moving toward the chosen destination.

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『ミツバチの会議』の一語一語が音声に合わせてリアルタイムでハイライトされ、自然に読み進められます。

第7章

Navigating as One: How Swarms Fly Together

How does a swarm of ten thousand bees navigate precisely to its new home across complex terrain? This remarkable feat of group flight guidance remained mysterious until recent advances in digital video technology finally made it possible to track individual bees within flying swarms. While individual honeybees can navigate to flowers over 10 kilometers away using sun-compass orientation, distance tracking, and landmark recognition, the mechanisms behind swarm navigation presented a puzzling challenge. Only 3-4% of bees in a flying swarm know the destination-the scout bees who previously discovered and evaluated the chosen site. Somehow, this informed minority must guide the ignorant majority. Three hypotheses were proposed to explain this guidance system. The chemical signal hypothesis suggested scouts release Nasonov gland pheromones at the front of the swarm to attract followers. The "subtle guide hypothesis" proposed that informed bees simply tend to fly toward the destination while all bees follow collision-avoidance and neighbor-alignment rules. The "streaker bee hypothesis," proposed by Martin Lindauer, suggested informed bees make conspicuous high-speed flights through the swarm cloud. To test whether scout bees guide swarms using attraction pheromones, researchers meticulously prepared swarms with sealed scent organs, preventing them from releasing Nasonov gland pheromones. Both these "treatment" swarms and control swarms flew directly to their target nest boxes at similar speeds (around 6-7 km/hr). The only significant difference was that treatment swarms took much longer to enter the nest box (20 minutes versus 9 minutes) because scouts couldn't mark entrances with pheromones. This proved that while scent organs play a role in the landing phase, they aren't used for flight guidance during travel. Using slow-speed photography with moderately long exposure times, researchers captured evidence that a small minority of bees zoom through the swarm at maximum flight speed (about 34 km/hr), while the majority move much more slowly. These "streaker" bees fly in straighter, more horizontal paths and operate mainly in the top of the swarm cloud, positioning themselves where they're easily visible against the sky. Sophisticated computer vision algorithms developed to track individual bees in high-definition video confirmed that the fastest bees were indeed heading directly toward the chosen homesite, while slower bees headed in various directions. The speedsters concentrated in the top portion of the swarm cloud and tended to accelerate as they moved from swarm rear to front, creating a chain reaction where informed "leader" bees influenced ignorant "follower" bees. Perhaps most striking is how virtually all scout bees abandon the chosen site shortly before the swarm launches, assembling on the cluster to guide its flight. This phenomenon makes adaptive sense, since only a small percentage of bees know the flight plan, making it crucial to have all navigators aboard. The mechanism remains mysterious-do scouts simply return to the swarm and linger after detecting flight signals, or might they respond to some unknown signal of imminent departure?

第8章

Collective Intelligence: Brains and Swarms

Comparing bee swarms to primate brains might seem bizarre, but these two systems share fundamental similarities-both are cognitive entities shaped by natural selection to process information effectively. Neither has a central decider with complete knowledge; instead, decision-making is diffused among simple units (bees or neurons), each possessing limited information. Both systems follow a three-stage process: a sensory transformation (converting external information into internal representation), a decision transformation (converting sensory representation into probabilities for different actions), and an action transformation (converting probabilities into specific behavior). In the sensory transformation stage, a swarm functions like an exposed brain that can "see" potential nest sites across vast distances through its squadron of scout bees. When a scout finds a worthy site, she returns to perform waggle dances whose strength corresponds to site quality. Each scout acts as a site-specific sensory unit, reporting on just one location, similar to how each MT neuron in a monkey brain reports on one portion of the visual field. The system's success stems from several key features: employing hundreds of scouts who gather information rapidly; collecting data over extended periods; ensuring each scout makes independent evaluations; using recruitment to create positive feedback that amplifies reporting on better sites; gradually reducing dance responses over time to purge information about inferior sites; and possibly adaptively choosing between exploring versus exploiting based on dance abundance. In the decision transformation stage, the number of bees visiting each potential nest site serves as an integrator of all dance information for that location. As scouts encounter dances on the swarm's surface, they visit the advertised sites, with better sites accumulating visitors more rapidly due to stronger dance representation. These integrators feature mutual inhibition-as more scouts commit to superior sites, fewer remain available for recruitment to inferior ones. The integrators are also "leaky," meaning each scout's commitment gradually declines over repeated visits. In the action transformation stage, both monkey brains and honeybee swarms use a threshold mechanism-whichever alternative first accumulates sufficient evidence in its integrator becomes the chosen option. For bees, this threshold is detected through quorum sensing, when scouts at a site recognize they've reached critical mass (about 15 bees). This shared five-element design-sensory units reporting on single alternatives; integrator units accumulating evidence over time; mutual inhibition between integrators; evidence leakage requiring sustained input; and threshold-based decision making-likely implements something close to the statistically optimal sequential probability ratio test (SPRT), which minimizes decision time for any desired accuracy level. This represents an astonishing convergence between two physically distinct "thinking machines"-neurons and bees-toward the same optimal solution, despite having evolved independently over hundreds of millions of years.

『ミツバチの会議』をもっと深く楽しむ

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第9章

Lessons for Human Organizations: Five Principles

What lessons can humans learn from honeybees about effective group decision-making? The house-hunting bees demonstrate principles of effective collective reasoning refined through 30+ million years of natural selection. First, compose decision-making groups of individuals with shared interests and mutual respect. Honeybee workers exemplify this perfectly-their genetic success depends entirely on colony survival. While human communities rarely share such singular purpose, leaders can foster cooperation by reminding members of their shared stake in group welfare. The Bradford, Vermont town meeting begins with a moment of silence "out of respect for the exercise in democracy," establishing a tone of mutual respect. Second, minimize the leader's influence on the group's thinking. The swarm bees' decision-making process is perfectly democratic, with power evenly distributed among all scout bees. Even the queen is merely a bystander. This leaderless approach avoids one of the greatest threats to good group decision-making: the domineering leader who reduces a group's ability to uncover diverse solutions and critically appraise possibilities. When human groups must have leaders, they should act impartially, limit initial comments to neutral information, refrain from advocating preferred solutions, encourage doubts and disagreements, and create an atmosphere of open inquiry. Third, seek diverse solutions to the problem. When facing problems with undefined options, a democratic group vastly outperforms individuals by exploring many possible solutions through numerous, diverse, and independent members. Honeybee swarms demonstrate this perfectly-hundreds of scout bees independently explore vast areas, typically uncovering 10-20 possible dwelling places. For human groups, this suggests ensuring sufficient group size for the challenge, including diverse perspectives, fostering independent exploratory work, and creating an environment where members feel comfortable proposing solutions. Fourth, aggregate the group's knowledge through debate. Honeybees solve this through a turbulent debate where scout groups supporting different nest sites compete to attract uncommitted scouts. This system brilliantly distinguishes good options from bad through an ingenious balance of interdependence and independence. Scouts communicate interdependently, allowing news about superior sites to spread, but maintain independence by personally evaluating sites before advertising them. For humans, this suggests using open and fair competition of ideas through frank debate, fostering good communication, and ensuring members listen critically while forming independent opinions. Fifth, use quorum responses for cohesion, accuracy, and speed. While thorough debate is valuable, honeybees show us a clever shortcut for balancing accuracy with efficiency. Their quorum response system triggers sharp behavioral changes once a threshold number of scouts support one site. For human groups needing unanimous decisions, periodic straw polls serve a similar function-revealing when consensus is near and enabling holdouts to recognize when continuing debate becomes pointless. These five principles, distilled from millions of years of evolutionary refinement, offer a blueprint for human collective intelligence. When properly implemented, they can help groups make decisions that consistently outperform even their smartest individual members-achieving what James Surowiecki famously called "the wisdom of crowds."

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『ミツバチの会議』を最後まで読み終えました

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『ミツバチの会議』の主要テーマ

collective intelligence
group decision-making
swarm behavior
organizational governance
biological superorganisms

『ミツバチの会議』の名言

Honeybees have perfected the art of collective decision-making.
The colony functions as a hermaphrodite.
Swarming-the honeybee colony's method of reproduction.
The true governance happens collectively among the worker bees.
The colony circulates resources through food exchange between workers.

『ミツバチの会議』の登場人物

Thomas D. SeeleyAuthor and biologist who studied bee democracy

著者について

『ミツバチの会議（Honeybee Democracy）』の著者であるトーマス・ダイヤー・シーリーは、先駆的な行動生物学者であり、コーネル大学のホレス・ホワイト生物学教授です。彼はミツバチの群知能に関する画期的な研究で広く知られています。

このノンフィクション作品は、動物行動における集団的意思決定を探求しており、ミツバチのコロニーが分散型の議論を通じて民主的に営巣場所を選定する方法を実証した、シーリーの数十年にわたるフィールド調査に基づいています。

彼の専門知識は、50年以上にわたるミツバチの生態学、社会生物学、および進化の研究に根ざしており、その詳細は『ミツバチの知恵（The Wisdom of the Hive）』や『野生のミツバチの生活（The Lives of Bees: The Untold Story of the Honey Bee in the Wild）』といった高く評価されている著作に記されています。自然界の組織的知恵について頻繁に講演を行っており、シーリーの研究は『サイエンティフィック・アメリカン』、NPR、TED形式のトークなどで取り上げられてきました。

プリンストン大学出版局から刊行されている彼の著書は、厳密な科学と親しみやすい語り口を融合させており、複雑な生物学的概念を養蜂家から一般の読者まで幅広く理解できるものにしています。『ミツバチの会議』は12言語に翻訳されており、動物行動学やシステム生物学の講義において不可欠な文献であり続けています。

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"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

BeFreedがウェブ上でどのように話題になっているかをもっと見る

コロンビア大学卒業生がサンフランシスコで開発

LOVED BY

1,000,000+ curious minds.

4.7

avg rating

1M+ learners

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

BeFreedがウェブ上でどのように話題になっているかをもっと見る

今すぐ学習の旅を始めよう

第4章

ミツバチの会議

概要『ミツバチの会議』の概要

1冊の本。さまざまな聴き方。

The Democracy of the Hive: Nature's Most Sophisticated Decision-Makers

The Superorganism: A Colony as a Single Living Entity

聴きながら、すべての言葉を目で追えます

The Miracle of Swarming: How Colonies Reproduce

The Perfect Home: What Bees Look For in Real Estate

『ミツバチの会議』をもっと深く楽しむ

The House-Hunting Process: Democracy in Action

The Launch: Preparing for Takeoff

聴きながら、すべての言葉を目で追えます

Navigating as One: How Swarms Fly Together

Collective Intelligence: Brains and Swarms

『ミツバチの会議』をもっと深く楽しむ

Lessons for Human Organizations: Five Principles

『ミツバチの会議』を最後まで読み終えました

『ミツバチの会議』の主要テーマ

『ミツバチの会議』の名言

『ミツバチの会議』の登場人物

著者について

ミツバチの会議の要約をダウンロード

他のユーザーのお気に入り

この本に関するよくある質問

What is Honeybee Democracy by Thomas D. Seeley about?

Who should read Honeybee Democracy?

Is Honeybee Democracy worth reading?

How do honeybees choose a new hive location?

もっと見る

1,000,000+ curious minds.

1,000,000+ curious minds.

1冊の本。さまざまな聴き方。

The Democracy of the Hive: Nature's Most Sophisticated Decision-Makers

The Superorganism: A Colony as a Single Living Entity

聴きながら、すべての言葉を目で追えます

The Miracle of Swarming: How Colonies Reproduce

The Perfect Home: What Bees Look For in Real Estate

『ミツバチの会議』をもっと深く楽しむ

The House-Hunting Process: Democracy in Action

The Launch: Preparing for Takeoff

聴きながら、すべての言葉を目で追えます

Navigating as One: How Swarms Fly Together

Collective Intelligence: Brains and Swarms

『ミツバチの会議』をもっと深く楽しむ

Lessons for Human Organizations: Five Principles

『ミツバチの会議』を最後まで読み終えました

他のユーザーのお気に入り

もっと見る

『ミツバチの会議』の概要