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Swarm Intelligence (The Morgan Kaufmann Series in Evolutionary Computation)

Russell C. Eberhart, Yuhui Shi, James Kennedy · 4 HN comments
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Amazon Summary
Traditional methods for creating intelligent computational systems have privileged private "internal" cognitive and computational processes. In contrast, Swarm Intelligence argues that human intelligence derives from the interactions of individuals in a social world and further, that this model of intelligence can be effectively applied to artificially intelligent systems. The authors first present the foundations of this new approach through an extensive review of the critical literature in social psychology, cognitive science, and evolutionary computation. They then show in detail how these theories and models apply to a new computational intelligence methodology―particle swarms―which focuses on adaptation as the key behavior of intelligent systems. Drilling down still further, the authors describe the practical benefits of applying particle swarm optimization to a range of engineering problems. Developed by the authors, this algorithm is an extension of cellular automata and provides a powerful optimization, learning, and problem solving method. This important book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation and by applying these insights to the solving of difficult engineering problems. Researchers and graduate students in any of these disciplines will find the material intriguing, provocative, and revealing as will the curious and savvy computing professional.
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As a total noob, I got a lot out of the book Swarm Intelligence [2001] by Eberhart, Shi, and Kennedy. Terrific survey of optimization overall and then dives into bee colony inspired algorithms (particle swarm optimization). Lots of books with similar name, so here's the link:

https://www.amazon.com/Intelligence-Morgan-Kaufmann-Evolutio...

I'm happy to see their website is still up:

http://www.swarmintelligence.org

I ended up using ACO for a manufacturing optimization problem. Once you reframe your problem into one of the classics, traveling salesperson in my case, you can feed it to a bunch of different strategies. I suppose I could have used genetic programming or taboo search, but didn't have the gumption to play around more.

I haven't done any optimization or OR work since, so haven't kept up. All this machine learning stuff as made me wistful for the good old days. I'm on the lookout for a hobby problem or project which will give me an excuse to circle back to optimization stuff.

labarilem
Maybe you could find the Google Hashcode problems to be interesting for a weekend project
I've intentionally reprogrammed myself (at least) two times. Three takeaways:

#1

How we talk changes how we think.

This is how propaganda works. We're somehow hard wired for sociability, cooperation. Something about our mirror neurons, theory of mind, and empathy.

#2

Our minds strive to maintain equilibrium.

There's an immune system like resistance to change, of any kind. The backfire effect of persuasion must be somehow related to this.

And yet, successful propaganda, persuasion somehow bypasses our defenses. Maybe we have an evolutionary glitch, where fearful stressed out people are more malleable.

#3

We don't remember changing our minds.

This is terrifies me.

Swarm Intelligence [2001] explanation of social cognition cites the research about our amnesia. My guess is that forgetting is somehow necessary for learning.

https://www.amazon.com/Intelligence-Morgan-Kaufmann-Evolutio...

--

Please (!) share more recent explanations for the neuroscience of propaganda, cults, persuasion, and so forth.

The only hopeful, optimistic stuff I've read recently is about de-radicalization and successful cult deprogramming. TLDR: Empathy, tenacity, and patience.

Jan 23, 2011 · mindcrime on Swarm intelligence
There's also this[1] which is a great introduction to Swarm Intelligence and it's relationship to Evolutionary Computing, Genetic Programming, Genetic Algorithms, etc.

[1]: http://www.amazon.com/Intelligence-Morgan-Kaufmann-Evolution...

And anybody who's really into this stuff should probably poke around at:

http://www.swarm.org/index.php/Main_Page

and

http://santafe.edu/

as well.

A really good book on this subject is Swarm Intelligence by Russell Eberhart

http://www.amazon.com/Intelligence-Morgan-Kaufmann-Evolution...

(I'm not affiliated with the book in any way :)

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