Consciousness as Functional Information

 

Congratulations to Anil Seth for winning the Berggruen essay prize on consciousness!  I didn’t learn the outcome until I emerged from one of the rare cellular blackout zones in modern America. My wife and I were whale watching south of Yachats (“ya-hots”) on the Oregon coast in this week of remarkable weather. We came up bupkis, nada, nil for the great migratory grays, but saw seals and sea lions bobbing in the surf, red shouldered hawks, and one bald eagle glowering like a luminescent gargoyle atop a Sitka spruce near Highway 101. We turned around at the dune groupings by Florence (Frank Herbert’s inspirations for Dune, weirdly enough, where thinking machines have been banned) and headed north again, the intestinal windings of the roads causing us to swap our sunglasses in and out in synchrony with the center console of the car as it tried to understand the intermittent shadows.

Seth is always reliable and his essay continues themes he has recently written about. There is a broad distrust of computational functionalism and hints of alternative models for how consciousness might arise in uniquely biological ways like his example of how certain neurons might fire purely for regulatory reasons. There are unanswered questions about whether LLMs can become conscious that hint at the challenges such ideas have, and the moral consequences that manifold conscious machines entail. He even briefly dives into the Simulation Hypothesis and its consequences for the possibility of consciousness.

I’ve included my own entry, below. It is both boldly radical and also fairly mundane. I argue that functionalism has a deeper meaning in biological systems than as a mere analog of computation. A missing component of philosophical arguments about function and consciousness is found in the way evolution operates in exquisite detail, from the role of parasitism to hidden estrus, and from parental investment to ethical consequentialism.… Read the rest

Boredom and Being a Decider

tds_decider2_v6Seth Lloyd and I have rarely converged (read: absolutely never) on a realization, but his remarkable 2013 paper on free will and halting problems does, in fact, converge on a paper I wrote around 1986 for an undergraduate Philosophy of Language course. I was, at the time, very taken by Gödel, Escher, Bach: An Eternal Golden Braid, Douglas Hofstadter’s poetic excursion around the topic of recursion, vertical structure in ricercars, and various other topics that stormed about in his book. For me, when combined with other musings on halting problems, it led to a conclusion that the halting problem could be probabilistically solved by an observer who decides when the recursion is too repetitive or too deep. Thus, it prescribes an overlay algorithm that guesses about the odds of another algorithm when subjected to a time or resource constraint. Thus we have a boredom algorithm.

I thought this was rather brilliant at the time and I ended up having a one-on-one with my prof who scoffed at GEB as a “serious” philosophical work. I had thought it was all psychedelically transcendent and had no deep understanding of more serious philosophical work beyond the papers by Kripke, Quine, and Davidson that we had been tasked to read. So I plead undergraduateness. Nevertheless, he had invited me to a one-on-one and we clashed over the concept of teleology and directedness in evolutionary theory. How we got to that from the original decision trees of halting or non-halting algorithms I don’t recall.

But now we have an argument that essentially recapitulates that original form, though with the help of the Hartmanis-Stearns theorem to support it. Whatever the algorithm that runs in our heads, it needs to simulate possible outcomes and try to determine what the best course of action might be (or the worst course, or just some preference).… Read the rest