Initial Fragmentation of Consciousness
- Levin and Kastrup discuss the idea of individual minds as “fragmented alters” of a larger collective intelligence.
- Kastrup speculates that the initial fragmentation may have been an “amazing accident,” akin to abiogenesis, or potentially a traumatic experience due to the “vertigo of Eternity.” He acknowledges that he can’t really ever know, the best anwser would be to look back in time as that’s when and how it really happend, like looking for proof that it had never been before such as in a-bio-genisis, this split must only need to happen a couple of times before evolution via natural selection.
- Levin, referencing embryonic development, suggests fragmentation is necessary for complex structures to form, preventing a uniform, “boring” field of cells, to him the best biological compairison is comparing planarian.
- It has been found experimentally by changing planarians electrical gradients, that a two-headed flatworm (not one head) has its biological bluepring now and in future copies, switched via an induced and heritable change in voltage gradient/polarity; not a mutation to its genetics!
- Kastrup notes the evolutionary advantage of dissociated autonomous functions (heartbeat, etc.), and also suggests that if a self-induced was ever needed, and as trauma in an enclosed system must happen to an individual from an outsdie system, so a trauma wouldn’t cause fragmentation but instead something more extreme than boredom.
Nature of Memory
- Levin and Kastrup discuss memory as an active reconstruction, not a static recording.
- Kastrup suggests memory is an access to the past, which (along with the future) still exists; our cognitive system filters out this access for efficiency.
- Memory imperfections arise because each recollection is a new present, colored by current emotions, expectations, and other memories.
- Kastrup references terminal lucidity as evidence that memories themselves are not lost, but access mechanisms can be impaired.
- Levin mentions experiments with planaria where memories (including morphological information) can be transferred between individuals, even without genetic changes.
- Levin highlights the ability to change the ‘blueprint’ of an organism. Planaria show information transferred and changing morphogensis that is not due to moving and replicating (via irradiated parts of it), and does not require genetics and changes to DNA. The information spreading is from its voltage gradient/polarizaiton!
Multi-Scale Intelligence and Boundaries
- Levin believes cognition, possibly very small conciousnesses as well, can be applied on various layers; a continuum.
- Levin sees cognition as a spectrum, and most systems have some form of “proto-experience.” He extends it even non-traditional systems such as weather.
- Kastrup sees living organisms as discrete systems, and inanimate objects as linguistic constructs, not distinct systems. This would then give ‘no things’ (according to the projection/use of language in descriping ontology), like weather, not having a conciousness.
- Levin agrees that autopoeisis (self-establishing boundaries) is crucial for defining a system. He adds it may require evolution.
- They discuss the implications of creating artificial beings that meet criteria for consciousness and moral worth.
- They express concern, via examples such as comparing training a simulation of something, a manequinn that looks like a human and others, and comparing the manequinn as evidence of it’s underlying processes is simlar or concious is that these simulacrums being evidence and/or misundersoodings are concerning.
Empirical Testing of Cognition
- Levin and Kastrup agree it must start from a humble standpoint (being weary to describe it when really any intelligence, as best understood right now, is the capacity to model anything, thus there are limitations to even know it’s intelligence. The best we could say so far is in that some ‘mind/agent’ exists if its prediction is very reliable such as when changing it’s input gives predictably changing outputs.
- Levin emphasizes empirical testing of cognitive boundaries using tools like causal information theory.
- Best place to set cognitive boundary empirically will afford a models for a ‘systems’ best prediction.
- He uses the octopus’s distributed nervous system as an example where limb goals can differ from the central organism.
- Human’s body-parts (except breathing), can learn different ways/tools/patterns/ to do actions, but are unified with its lessons learnt (left foot does not need to know of ‘right foot knowing fire is hot’).
- He mentions humans have limited access to even parts of their own brains (e.g., the right hemisphere).
- The underlying processes (of bio-eletrical morphogensis or memory) of a manequinn will likely be diffrent, even though it could appear human in that it could respond or simulate a real-world object via training, to say the mannequin (and its underlying systems/programming), must then have its own unique form concioussnes via analogy to biological, can be erronus.
- Kastrup discusses information integration and the “Exclusion Principle” of IIT as related to defining system boundaries.
Broader Implications
- Kastrup also mentions how our systems are never perfect. The exclusion-principle will still give it a conciousness and there is no known way of making a faultline strong, no matter the complex.
- Levin stresses that training is a key aspect of cognition, especially when a system learns something its parts cannot.
- A biological system (like flatworms or any animal really), is able to change morphogenetic or other biological structures and pathways to achive and remember a different and better and/or new form, it’s also heritable.
- He gives the example of a rat learning an association that individual cells cannot experience.
- Levin has also found gene regulatory networks displaying pavlovian conditioning; which requires humblness to describe, such as for something simple as the weather (that a computer’s simulation for the weather will not prove or have ‘true’ answers).
- They raise ethical concerns about mistreating artificial beings with potential for suffering.
- Humility about Recognizing it, let alone defining.
Application in Biomedicine and Ethics
- Understanding cellular decision-making has implications for biomedicine: birth defects, injury, aging, cancer. It can even lead to transhumanism, a controversial thing Michael Levin himself likes.
- Understanding morphogenesis as “intelligent navigation” helps us understand diverse intelligences and what constitutes a mind.
- Cells will continue ‘knowing’ or having voltage/polarity configurations of a two-headed Planarian that has already lost it’s second head, a one-headed Plarian also has cells that remember their form and it being ‘one-headedness’.
- Expanded understanding of diverse intelligences has ethical implications, demanding compassion and understanding for beings different from us.
- In terms of how we treat and what should/would/will change in our biological organisms, a big consideration has been the lack of focus given to an organism’s structure that’s different and underlying system(s)/memory for biological and it’s structures, leading to potential big impacts when they do ‘listen’ and apply/discover/implement new solutions in ‘their’ domain: ‘Software’.