Avocet behaviours soon after hatching

What mechanisms make these behaviours possible
and how are the mechanisms created in individuals?

Part of the Turing-inspired
Meta-Morphogenesis project

Aaron Sloman
http://www.cs.bham.ac.uk/~axs/
School of Computer Science, University of Birmingham


Installed: 1st Jun 2021
Last updated: 25 Dec 2021 (Minor changes of format)

What are we trying to explain? An example video.

This video extract from the BBC Springwatch programme (2021 Episode 5) shown on 1st June 2021 presents a 35 second extract from the section on avocets:
https://www.cs.bham.ac.uk/research/projects/cogaff/movies/avocets/avocet-hatchlings.mp4
Added 1 Aug 2021:
Thanks to Malcolm Dean, I have learnt that the Springwatch episodes are now freely available on Youtube. Episode 5 is here:
https://www.youtube.com/watch?v=FV6ZHe0CiHw
The section on "Avocet Island" starts at about 12min 23sec. The above 35 second extract, showing competences of newly hatched avocets, starts at about 12mins 30secs.

The video demonstrates competences in hatchlings only a few hours old, that could not have been produced by individual learning mechanisms in the time available since hatching.

They must therefore have been produced by chemical processes during development of the chicks, inside their eggs.

Mechanisms capable of achieving that, especially within the time limits and also size, weight and energy limits of an egg, are not explained (as far as I can tell) by anything known to researchers in psychology, neuroscience, philosophy, biology, embryology, physics, chemistry, biochemistry, chemical engineering, AI, ...

Specifying requirements for an adequate explanation is a non-trivial task.

Fashionable neural net theories cannot be relevant because most of the development has happened inside the egg, and chick embryos cannot be trained in the task environment. After hatching they use those competences, without having had opportunities to train neural nets between hatching and feeding themselves on the river.

Part of what needs to be explained is how brains, and all their neural mechanisms, are created in an egg, along with all the other physiological components, and all their connections.

Finding explanatory mechanisms first involves analysing the requirements to be met by such mechanisms, which are far from obvious, as nothing produced by humans so far comes close to matching these achievements, either in designs for robots or in explanations of biological or psychological phenomena that I have encountered.

The Meta-Morphogenesis (M-M) project, begun around 2011, triggered by preparations for the Alan Turing Centenary year, is a search for such mechanisms, the biological requirements that led to their evolution, and the features of the physical world that make all those processes and their products possible.
http://www.cs.bham.ac.uk/research/projects/cogaff/misc/meta-morphogenesis.html

On 2nd June 2021, some of the details were presented to the Carl-Friedrich von Weizsaecker Center Tuebingen University: A recording of the presentation is included in their Youtube collection here https://www.youtube.com/channel/UCaG1Q8TEuLN5OJZXaTL28PQ.
My talk is this one: https://www.youtube.com/watch?v=Bbh8E3Pk0R0
Unfortunately it was an unscripted "talking head" presentation, because zoom crashed each time I tried to switch to "Shared Screen" mode.

So I could not display the avocet clip. I also could not display any of my notes, images, videos, prepared for use during the presentation, most of which were used in a later presentation based on this document:
https://www.cs.bham.ac.uk/research/projects/cogaff/misc/sloman-PhiloWeb.html

There are several other directly relevant presentations and online papers. I may add a list here later!

More on the Meta-Morphogenesis project

The project includes (among many other tasks) investigation of detailed requirements for explanatory mechanisms for spatial intelligence in humans and other intelligent animals. As far as I can tell, there is nothing that comes close in current neuroscience or symbolic (e.g. logic-based) AI, or combinations of the two approaches.

I suggest that only hitherto unknown chemical mechanisms, possibly including chemically-implemented virtual machinery, can meet the explanatory requirements, including explaining how newly hatched, untrained animals can perform complex feats in complex environments, as illustrated by the avocets. I also suspect that such mechanisms are part of what made possible a great many geometric and topological discoveries and also engineering designs and constructions centuries before Pythagoras, Euclid, Archimedes, and other mathematicians of their era.

For a more detailed, but still disorganised discussion of the issues see:
http://www.cs.bham.ac.uk/research/projects/cogaff/misc/sloman-morcom.html