Insightful Animal Behavior: A "Sufficiently Advanced Technology"

In the midst of World War I, Wolfgang Köhler conducted a famous series of experiments to investigate problem solving ability in chimpanzees. The lasting impression of these experiments, reinforced by just about every introductory Psychology text, was Köhler’s assertion that the chimps demonstrated “insightful” learning.
Did they now?

From this site:

Köhler’s most well-known work on chimp cognition was in the use of tools to gain access to food. A chimp would have to stack boxes to reach a banana that was suspended out of reach, or insert a narrow stick into a thicker one to produce a tool long enough to reach food. While Köhler’s star chimp, Sultan, did not immediately put two shorter sticks together to make one long one, he worked on the sticks for over an hour. When they had fitted together, Sultan immediately used the new tool to retrieve the bananas. This solution demonstrates insight – recognizing the “problem space” – rather than foresight.

Another set of descriptions from Köhler gushing over how the chimpanzee “spontaneously” jumps to the correct solution (“Eureka!”) without evidence of incremental training. Amazing!
Or, is it…

OMG! Pigeons have insight! We must reorganize our whole understanding of the supremacy of the apes. Right?
The scholarly description of this little experiment, while less intuitive than the video, resulted in a peer-reviewed publication. From some OldeSkool behaviorists making the point that when the behavioral and environmental antecedents are unknown, we might be led astray by our assumptions.

Epstein R, Kirshnit CE, Lanza RP, Rubin LC. ‘Insight’ in the pigeon: antecedents and determinants of an intelligent performance. Nature. 1984 Mar 1-7;308(5954):61-2.

Somehow I am reminded of Arthur C. Clarke’s Third Law: “Any sufficiently advanced technology is indistinguishable from magic“.
Now it may be the case that all brain/behavior relationships in animals more complicated than a cockroach approach Clarke’s “sufficiently advanced technology” as far as we are concerned at present. Nevertheless, at least the behaviorist tradition results in demonstrations that seem understandable to the average college freshman. You have stimuli, you shape incremental responses with the provision of consequences for particular responses and you observe learning or acquisition curves. It makes sense.
However sometimes we visit phenomena for which we do not have a great understanding of, or appreciation for, the “technology”. We understand much less about what generates the higher cognitive skills out of the (admittedly complicated) anatomy and signaling (chemical and electrical) properties of the brain. We may not have much appreciation for the behavioral history of animals in the wild or semi-feral captivity. And so. And so. When faced with phenotypes which seem beyond our ability to explain with our comprehensible level of technology, we grasp for magical explanations. “Insight”? “Consciousness”? “Self-awareness”? We struggle with understanding and classifying these properties of the brain.
I don’t want to belabor the analogy too much. I am not suggesting that believing in “insightful learning” or “consciousness” is the same thing as believing in “magic”. My point is that we should be cautious in assigning inferences of qualitatively different processes just because it is not immediately apparent to us, e.g. how a particular skill was acquired. Cautious in assuming that just because a specific species exemplar sitting before us can or cannot demonstrate a particular behavior this means that all members of the species can / cannot perform similarly.
And most importantly, we should be cautious in assigning order-of-magnitude or quality-based rankings. For example if we have the “understandable” technologies and the “sufficiently advanced” technologies lined up, the lowliest of the “magic” technologies may be, in objective terms, much closer to our higher “understandable” technologies than they are to the highest of the “magic/incomprehensible” technologies. In other words, the “insight” expressed by Köhler’s chimpanzee subjects may be in objective terms much closer to the “insight” expressed by Epstein’s pigeon than it is to some version of human “insight” which leads, for example to an advance in understanding brain function in a neuroscience laboratory.
Returning to a couple of additional “technologies” of the nonhuman ape brain, it turns out that chimpanzee’s highly touted ability to fish for termites with a bit of stick is a meticulously learned behavior taught by the mother. But..but.. tool use was supposed to be some qualitative watershed. A hugely significant difference in the animal kingdom between the “haves” and “have nots”. And believe you me it is a very large part of the comparative cognition theme to insist on examining “spontaneous” behaviors that are not trained and shaped though incremental learning. (It will not surprise you that the above Epstein video and similar behaviorist demonstration are precisely the reason for this distinction.) Now we have come to appreciate that this supposedly species-typical behavior, termite fishing, is incrementally learned. Now what would happen if some members of a species received incremental training and some did not?
It has been shown that other tool use in chimpanzees is culturally limited, meaning that one group of the species may be found to use rocks to crack hard-shelled coula nuts whereas another group many miles away may never do so, despite plenty of nuts and rocks lying around. So at one point, a theoretical pair of field primatologists working with distant groups of subjects might reach opposite conclusions about the “innate capability” of a single species for use of a particular tool. Should we conclude from this that chimpanzee group A is more “insightful” than chimpanzee group B in a constitutive, unalterable way? That they exhibit qualitatively and significantly different cognitive “ability”? Of course not…once we put all the data together. Then we realize we need to go looking for additional environmental contributions to the observed behavioral phenotype.
And tone down our rhetoric on nice neat species differences in “innate capability”.
A nice side effect, is that by considering the different environmental contributions to brain/behavior phenotypes which may on first blush seem fantastical or nearly miraculous, we can gain a more realistic perspective on the “technological difference” scale from simpler organisms all the way up to what is the most complicated brain technology of our acquaintance, the human.