Final Flashcards
(121 cards)
What are the two ways of looking at whether consciousness is all-or-none or graded?
What is the likely answer to both of these ways?
- Within an organism (e.g. falling asleep: did you just fall asleep, or did you gradually fall asleep?)
- Degrees of complexity across organisms: (e.g. are some organisms that have a simple nervous system less conscious than those with a complex one?)
- likely answer is that consciousness is graded
2 different views on how consciousness evolved
- simple forms gradually evolved to more complex forms
- whenever/wherever consciousness emerged, it was NOT gradual (e.g. a sudden mutation)
what are 5 views on the origin of consciousness:
- Panpsychism (19th cen): everything is consciousness.
- consciousness emerged BEFORE biological evolution - Consciousness appeared as soon as life appeared on earth; everything alive is conscious
- consciousness appeared when the first sense organs appeared
- consciousness emerged when the brain evolved to be more complex
- consciousness emerged when specialized social skills emerged (like social perception, imitation, language, deception)
Douglas Hofstadter’s belief on the survival value of consciousness
you can’t remove consciousness from humans while other functions (like reasoning & intelligence) remain intact
- consciousness is not an “extra feature” that you can remove
Baars’ view on the survival value of consciousness
in evolutionary past, consciousness would’ve saved us from danger (e.g. fear qualia)
What system challenges the need for consciousness to save us from danger? (e.g. we can be saved without conscious experience)
classificatory system (e.g. there is danger) –> action system (moving away)
Max Velman’s view on the survival value of consciousness
consciousness makes you want to survive (subjective experiences)
What was Jeffrey Gray’s idea of the unconscious comparator? (3)
- somewhere in the brain, we have an unconscious comparator which predicts what should happen, & compares it with what actually happens
- this occurs in the hippocampal system
- consciousness comes too late to help in the present, but it helps in future similar situations
Humphrey’s view on survival value of consciousness (2)
- survival value for social reasons
- consciousness as a new sense organ whose field view is internal (self-reflective)
Guy Claxton’s view on the origin of the survival value of consciousness (2)
- consciousness didn’t emerge for a purpose
- it started out as a rare case of super-alertness in an emergency
Universal Darwinism
- we can have other replicators (not just genes)
- other systems evolve (social, economic…)
what are memes? what are they an example of?
- any kind of information that is copied (ideas, skills, habits…)
- Darwinism in culture
Memeplex (2)
- a group of memes that are passed on together
- happens when a meme can replicate better as part of a group than on its own
Edelman’s Theory of Neural Darwinism (2)
- Variability: the brain is growing, so neurons branch out, & there is enormous variability in connection patterns
- Selection: these patterns are pruned depending on which are most used
What is a weakness of Edelman’s Theory of Neural Darwinism?
- there doesn’t seem to be the 3rd step of “heredity” that is required for evolution
- no mechanism for copying neuronal patterns to make new ones
Leibniz’s thought experiment:
- imagine a machine that you could walk inside. You wouldn’t be able to find perception/thinking inside, you’d only see a bunch of gears.
What was the conclusion of Leibniz’s thought experiment?
there must be a simple substance (“monads”) that explains perception, instead of parts of a machine
George Boole
logical problems (thought) can be expressed as an equation using two values (0 & 1) & rules to combine them
Shannon (3)
- used Boolean algebra to describe behavior of switches (on/off)
- called each unit of info a “bit”
- e.g. 2 pieces of information can be represented in 1 bit
Alan Turing
- Father of Artificial Intelligence
Turing Machine (2)
- a simple machine (with 0s & 1s) that can solve any computable problem
- substrate neutral: it doesn’t matter what substance it’s made of, the concept is still the same
2 types of AI
- Strong AI: has intelligence & a true mind (can feel emotions, fall in love etc)
- Weak AI: (everything we have today) can simulate the mind & make decisions better than humans
for the first 30 years of AI, what type of AI systems were in place? (2)
- rule based systems
- would fail when dealing with real-world problems
What is connectionism? (2)
- new approach to AI (1980s)
- not programmed to follow rules; rather, they learn from experience
how does connectionism work in an AI system? (3)
- begins by making random responses, either correct/incorrect
- when incorrect, we say “try again”
- connections (“weights”) are adjusted