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Digging up the past When I was a child, my family visit a dig site. They were excavating fossils of mammoths. Before we get back to examining natural history, we’ll spend a few episodes finding out where the evidence for the story comes from. Here is a link to the hot springs mammoth site. Mammoth …
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Trees eyes and antlers Sometimes, very different organisms can end up having traits in common, even though they didn’t share those traits with an ancestor. Instead, different systems, solving similar problems, can come up with similar answers. Here’s a link to the episode on eyes. Ep 78: Eyes Here’s a link to an article about …
In episode 144, I oh so casually mentioned that I was getting some runtime errors. They don’t happen in every run, but the fact that they happen at all is a problem. My artificial life system will eventually be running for days at a time as I do different experiments, and I can’t have these …
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Does a long life really inhibit evolution? In episode 139 and 142, I talked about some results I’ve been getting with my experiment with artificial life and digital organisms. I had to rework the death object to make sure that one of the little critters would die and make room for others. But does an …
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Emergent self-replicating software from my experiments In the previous episode, I provided a description of “Amoeba.” In this episode I use “Figures,” which is my own experiment with digital organisms and artificial life, to repeat the results of Andy Pargellis’s Amoeba experiment, with a few differences. I also give the most detailed explanation of my …
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Emergent self-replication with Amoeba Did life come from chaos? If it did, could you get artificial life to do the same thing? As I’m repeating the experiment, with some difference, I thought I’d talk about Amoeba—an artificial life simulation that caused self-replicating bits of software to emerge from randomly generated code. I provide a general …
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A closer look at results from ep 139 In episode 139, I talked about unexpected results from my experiment with artificial life and digital organisms. There was a tiny bit of evolution happening with a very tiny population. Today, we take a closer look at what the system was doing. Here are links to previous …
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The largest of the small Not every single-celled life form is microscopic. Some of them can be seen with the naked eye. Some of them are, at least compared to other single-celled creatures, downright gigantic. Here’s an article about the large amoeba that was found on the bottom of the ocean. Giant single celled organisms …
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An exception to the rules of biology As soon as you’ve defined something like Eukaryotes, some exception crops up, and you have to redefine a classification of life. Today, we look at one or two such exceptions, including an animal that doesn’t use oxygen. Here are links to the episodes referenced in today’s “exciting” episode. …
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de facto fitness functions and unexpected early evolution When people talk about their artificial life computer simulations, they often say that there is no fitness function—no bit of code that decides which bit of software lives, dies, or reproduces. Even if it isn’t happening on purpose, the design of the overall system can still cause …