基思.德夫林(Keith Devlin,1947--)是斯坦福大學語言與信息研究中心行政主任和斯坦福大學數學係的顧問教授,美國科學院數學科學教育委員會委員,世界經濟論壇成員,美國科學促進會成員,美國全國公共電颱數學普及節目主持人.他是24本書、一張互動式CD光盤和75篇已發錶的研究論文的作者，以“數學小子”而著稱。其著作有：《韆年難題》、《數學猶聊天》、《數學化生命》等。

There are two kinds of math: the hard kind and the easy kind. The easy kind, practiced by ants, shrimp, Welsh Corgis — and us — is innate. But what innate calculating skills do we humans have? Leaving aside built-in mathematics, such as the visual system, ordinary people do just fine when faced with mathematical tasks in the course of the day. Yet when they are confronted with the same tasks presented as "math," their accuracy often drops. If we have innate mathematical ability, why do we have to teach math and why do most of us find it so hard to learn? Are there tricks or strategies that the ordinary person can do to improve mathematical ability? Can we improve our math skills by learning from dogs, cats, and other creatures that "do math?" The answer to each of these questions is a qualified yes. All these examples of animal math suggest that if we want to do better in the formal kind of math, we should see how it arises from natural mathematics.