NeuroSCIence in FIction: Kill Decision

Join Our Community of Science Lovers!

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American


From the Sleights of Mind archives.

Every Friday we discuss how neuroscience is portrayed in fiction. This week we’ll be discussing Daniel Suarez’s new book, Kill Decision. It’s the story of what would happen if evil entities high up within the military industrial complex developed autonomous unmanned war machines and imbued them with a simple algorithm: behave like a weaver ant.


On supporting science journalism

If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.


It’s a fantastic premise that thoroughly imagines just how fearsome a swarm of inexpensive, simple-minded, toy-like helicopters would be if they were armed and given the territorial sensibilities of the most warlike animal on the planet. The plot orbits around the idea that the evil industrialists, having now invented and perfected the new wave in warfare, must first create a market, which is accomplished by using more traditional (but still autonomous) unmanned aircraft to attack civilian targets around the globe and in the US. They plant false clues to incense nations that are already unfriendly with each other, which lead them all to demand their own autonomous air forces. Autonomy is key here because current unmanned aerial vehicle (UAV) technology requires a human in the loop to make final decisions about what kill, but radio communications can be blocked, meaning that it is inevitable that machines much be given the ability to make their own decisions about targets if unmanned warfare is to continue to evolve.

Weaver ants are modeled as the basis for the autonomous warfighter’s mind because that’s basically what individual weaver ants are. And their success as species having a total worldwide biomass equivalent to humans proves that the algorithm describing their behavior is a winner. I’ll leave you to read the book for more neuroscience details.

The book reads like a Michael Crichton thriller, and along with Suarez’s other outstanding thrillers Daemon and FreedomTM, Kill Decision places Suarez in position to pick up the mantle of the late Crichton. In fact, as a true expert in the systems he writes about (Suarez is a computer engineer), Suarez brings an unmatched sense of realism and immediacy to his stories.

A terrific, exciting, and chilling read.

Stephen L. Macknik is a professor of opthalmology, neurology, and physiology and pharmacology at SUNY Downstate Medical Center in Brooklyn, N.Y. Along with Susana Martinez-Conde and Sandra Blakeslee, he is author of the Prisma Prize-winning Sleights of Mind. Their forthcoming book, Champions of Illusion, will be published by Scientific American/Farrar, Straus and Giroux.

More by Stephen L. Macknik

Subscribe to Support Independent Journalism

Great science journalism requires human expertise, time, effort and creativity. And it costs money. That’s why I and the journalists here at Scientific American hope you’ll join our community.

When you subscribe, you are supporting staff and freelance journalists who are passionate about telling science stories that are true, important and compelling. Our editors and reporters are often experts in their fields, which means they understand the nuances of big discoveries and can untangle the breakthroughs from the hype. With a subscription, you are also supporting rigorous fact-checking to ensure the words we publish are precise and accurate. And you’re supporting original illustrations, graphics and photos that bring you closer to an advanced laboratory, an ice sheet in Antarctica or a space mission in orbit. You’re helping us craft other types of high-quality journalism as well: Our newsletters are carefully written, edited and curated by staffers you have or will come to know and love. Our Science Quickly podcast is based on original reporting, collaboration with editors and scientists and exacting production.

Subscriptions keep this engine running so we can continue to deliver thoughtful, rigorous and independent science journalism to you. In an era of viral misinformation, this work is crucial. If you value what we do, I hope you’ll consider joining us as a subscriber

Thank you,

Jeanna Bryner, Editor in Chief, Scientific American

Subscribe