[PROLOGUE – EVERYBODY WANTS A ROCK]
[PART I – THERMOSTAT]
[PART II – MOTIVATION]
[PART III – PERSONALITY AND INDIVIDUAL DIFFERENCES]
[PART IV – LEARNING]
[PART V – DEPRESSION AND OTHER DIAGNOSES]
[PART VI – CONFLICT AND OSCILLATION]
[PART VII – NO REALLY, SERIOUSLY, WHAT IS GOING ON?]
[INTERLUDE – I LOVE YOU FOR PSYCHOLOGICAL REASONS]
[PART VIII – ARTIFICIAL INTELLIGENCE]
[PART IX – ANIMAL WELFARE]
[PART X – DYNAMIC METHODS]
[PART XI – OTHER METHODS]
“Alright, gang, let’s split up and search for clues.”
— Fred Jones, Scooby-Doo
This has been our proposal for a new paradigm for psychology.
If the proposal is more or less right, then this is the start of a scientific revolution. And while we can’t make any guarantees, it’s always good to plan for success. So in case these ideas do turn out successful, then: welcome to psychology’s first paradigm, let’s discuss what we do from here.
In looking for a paradigm, we’re looking for new ways to describe the mysteries that pop up on the regular. When a good description arrives, some of those mysteries will become puzzles, problems that look like they can be solved with the tools at hand, that look like they will have a clear solution, the kind of solution we’ll recognize when we see it. Because a shared paradigm gives us a shared commitment to the same rules, standards, and assumptions, it can let us move very quickly.
All that is to say is that if this paradigm has any promise, then there should be a lot of normal science, a lot of puzzle-solving to do. A new paradigm is like an empty expert-level sudoku: there’s a kind of internal logic, but also a lot of tricky blanks that need filling in. So, we need your help. Here are some things you can do.
Experimentation
First, experimentalists can help us develop methods for figuring out how many cybernetic drives people have, what each drive controls, and different parameters of how they work. In the last two sections we did our best to speculate about what these methods might look like, but there are probably a lot of good ideas we missed.
Then, we need people to actually go out and use these methods. The first task is probably to discover all of the different drives that exist in human psychology, to fill out the “periodic table” of motivation as completely as we can. Finding all of the different drives will generate many new mysteries, which will lead to more lines of research and more discoveries.
We will also want to study other animals. There are a few reasons to study animals in addition to humans. First of all, most animals don’t have the complex social drives that humans do. The less social an animal is, the easier it will be to study its non-social drives in isolation. Second, it’s possible to have more control over an animal’s environment. We can raise an animal so that it never encounters certain things, or only encounters some things together. Finally, we can use somewhat more invasive techniques with animals than we can with humans.
Computational Modeling
Computational models will be especially important for developing a better understanding of depression, anxiety, and other mental illnesses. With a model, we can test different changes to the design and parameters, and see which kinds of models and what parameter values lead to the behaviors and tendencies that we recognize as depression. This will ultimately help us determine how many different types of depression there are, come to an understanding of their etiology, and in time develop interventions and treatments.
Computational models should provide similar insight into tendencies like addiction and self-harm. The first step is to show that models of this kind can give rise to behavior that looks like addiction. Then, we see what other predictions the model makes about addictive behavior, and about behavior in general, and we test those predictions with studies and experiments.
If we discover more than one computational model that leads to addictive behavior, we can compare the different models to real-world cases of addiction, and see which is more accurate. Once we have models that provide a reasonably good fit, we can use them to develop new approaches for treatment and prevention.
Biology and Chemistry
Those of you who tend more towards biology or neuroscience can help figure out exactly how these concepts are implemented in our biology. Understanding the computational side of how the mind works is important, but the possible interventions we can take (like treating depression) will be limited if we don’t know how each part of the computation is carried out in an organism.
For example: every governor tracks and controls some kind of signal. The fear governor tracks something like “danger”. This is a complicated neurological construct that probably doesn’t correspond to some specific part of biology. But other governors probably track biological signals that may be even as simple as the concentrations of specific minerals or hormones in the bloodstream.
For example, the hormone leptin seems to be involved in regulating hunger. Does one of the hunger governors act to control leptin levels in our blood? Or is leptin involved in some other part of the hunger-control process? What do the hunger, thirst, sleep, and other basic governors control, and what are their set points?
Biologists may be able to answer some of these questions. Some of these questions may even have already been answered in neuroscience, biology, or medicine, in which case the work will be in bundling them together under this new perspective.
Design
Running studies and inventing better methods sounds very scientific and important, but we suspect the most important contributions might actually come from graphic design.
The first “affinity table” was developed in 1718 by Étienne François Geoffroy. Substances are identified by their alchemical symbol and grouped by “affinity”.
At the head of each column is a substance, and below it are listed all the substances that are known to combine with it. “The idea that some substances could unite more easily than others was not new,” reports French Wikipedia, “but the credit for bringing together all the available information into a large general table, later called the affinity table, goes to Geoffroy.”
Here is a later affinity table with one additional column, the Tabula Affinitatum, commissioned around 1766 for the apothecary’s shop of the Grand Duke of Florence, now to be found in the Museo Galileo:
These old attempts at classification are charming, and it’s tempting to blame this on the fact that they didn’t understand that elements fall into some fairly distinct categories. But chemical tables remained lacking even after the discovery of the periodic law.
Russian chemist Dmitri Mendeleev is often credited with inventing the periodic table, but he did not immediately give us the periodic table as we know it today. His original 1869 table looked like this:
And his update in 1871 still looked like this:
It wasn’t until 1905 that we got something resembling the modern form, the first 32-column table developed by Alfred Werner:
They tried a lot of crazy things on the way to the periodic table we know and love, and not all of these ideas made it. We’ll share just one example here, Otto Theodor Benfey’s spiral periodic table from 1964:
When a new paradigm arrives, the first tools for thinking about it, whether tables, charts, diagrams, metaphors, or anything else, are not going to be very good. Instead we start with something that is both a little confused and a little confusing, but that half-works, and iterate from there.
The first affinity table by Étienne François Geoffroy in 1718 was not very good. It was missing dozens of elements. It contained bizarre entries like “absorbent earth” and “oily principle”. And it was a simple list of reactions, with no underlying theory to speak of.
But it was still good enough for Fourcroy, a later chemist, to write:
No discovery is more brilliant in this era of great works and continued research, none has done more honor to this century of renewed and perfected chemistry, none finally has led to more important results than that which is relative to the determination of affinities between bodies, and to the exposition of the degrees of this force between different natural substances. It is to Geoffroy the elder … that we owe this beautiful idea of the table of chemical ratios or affinities. … We must see in this incorrect and inexact work only an ingenious outline of one of the most beautiful and most useful discoveries which have been made. This luminous idea served as a torch to guide the steps of chemists, and it produced a large number of useful works. … chemists have constantly added to this first work; they have corrected the errors, repaired the omissions, and completed the gaps.
It took about two hundred years, and the efforts of many thousands of chemists, to get us from Geoffroy’s first affinity table to the periodic table we use today. So we should not worry if our first efforts are incomplete, or a little rough around the edges. We should expect this to take some effort, we should be patient.
Better tools do not happen by accident. We do not get them for free — someone has to make them. And if you want, that someone can be you.
That’s all, folks!
Thank you for reading to the end of the series! We hope you enjoyed.
We need your help, your questions, your disagreement. Consider reaching out to discuss collaborating, or to just toss around ideas, especially if they’re ideas that could lead to empirical tests. You can contact us by email or join the constant fray of public discussion on twitter.
If you find these ideas promising and want to see more of this research happen, consider donating. Our research is funded through Whylome, a a 501(c)(3) nonprofit that relies on independent donations for support. Donations will go towards further theoretical, modeling, and empirical work.
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