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Animal Minds Virtual Part 1
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Michele Merritt
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Updated Mar 17, 2025
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00:01 - 00:06
Hey everyone. So we are doing our classes this week online.
00:06 - 00:09
So you're gonna have these lectures. I'll probably have a couple of them.
00:09 - 00:10
I haven't really time these out.
00:10 - 00:16
I have a 15 minute limit on these presses that I do when I do a video recording.
00:16 - 00:20
So you don't have to watch too long of a video at a time.
00:20 - 00:24
So probably have three or four of them to get through all this material. Um
00:25 - 00:27
because it's like two classes. Right?
00:27 - 00:30
So we're Tuesday and Thursdays class are going to be these
00:30 - 00:34
videos over the andrews reading that we have for this week.
00:34 - 00:37
So if you remember from looking at the syllabus,
00:37 - 00:40
you're not going to have journal assignments for this week.
00:40 - 00:41
Um
00:42 - 00:47
but you will need to be watching these presses um at some point during the week.
00:48 - 00:52
And um I will have a discussion board for you that
00:52 - 00:54
you can participate in and that will count as your,
00:54 - 00:57
like your class participation and attendance grade
00:57 - 00:59
since we weren't meeting in person.
00:59 - 01:04
We're just doing this virtually this week. Okay. So, um we've been talking about
01:04 - 01:09
artificial intelligence and whether or not machines could
01:09 - 01:12
potentially be considered thinking things like us,
01:12 - 01:15
we know that we are we've already gone through the arguments um,
01:15 - 01:20
about human nature being such that we have minds and
01:20 - 01:22
we've talked about what that means to have a mind.
01:22 - 01:25
And then we've looked at whether machines might be said to have minds
01:26 - 01:31
and one of the arguments against this as we've seen is that it seems that
01:31 - 01:35
machines don't have the capacity to create
01:35 - 01:38
their own language to understand other language,
01:38 - 01:42
to have conscious experience, um to have emotions.
01:42 - 01:44
A lot of those things that you brought up.
01:44 - 01:49
Those are things that of course are often used against machine intelligence.
01:49 - 01:51
But what about other anima
01:51 - 01:55
that now they do have a central nervous system. They do have brains.
01:55 - 01:58
They have bodies, they perceive the world, likely they have emotions,
01:58 - 01:59
all that kind of stuff.
01:59 - 02:03
Maybe they're a better place to look instead of machines.
02:03 - 02:06
We have these animals that live with us, some of them like dogs and cats.
02:06 - 02:07
And then we have really smart
02:07 - 02:12
um and clever creatures like dolphins and chimps.
02:12 - 02:16
So maybe maybe that's a better place to look for non human intelligence.
02:16 - 02:18
So that's what we're going to be thinking about and that's
02:18 - 02:21
what the andrews chapter that we read is all about.
02:21 - 02:27
So um speaking of dechert. So um let's see.
02:28 - 02:29
Speaking of Deckard, sorry,
02:29 - 02:33
I'm trying to make sure that the president is able to be seen at certain points.
02:33 - 02:39
So I want to make sure you can see this text. So dechert, if you recall um
02:40 - 02:46
he actually talks about the problem of understanding other minds besides our own.
02:46 - 02:48
So when we look out into the world and
02:48 - 02:52
we see other creatures like humans and other animals,
02:52 - 02:58
um they move and talk and act like they have a mind often.
02:58 - 03:03
Um but there's not proof positive for Deckard that they do.
03:03 - 03:08
They could be um fictitious elements. I mean they could just be
03:09 - 03:13
part of our own dreams, right, that we're not, we're just making them up there,
03:13 - 03:14
We're having a hallucination.
03:14 - 03:19
But even if those creatures exist beyond our minds, as Deckard says,
03:19 - 03:22
they could just be mere automata, as he calls them.
03:22 - 03:25
An automata, of course, a self moving machine.
03:25 - 03:26
Um That's interesting cause we just talked
03:26 - 03:28
about machine intelligence and now we've got
03:28 - 03:33
this idea that maybe maybe that's what animals are too um that they don't,
03:34 - 03:37
they behave in ways that look intelligent because they
03:37 - 03:40
eat and they sleep and they poop and they,
03:40 - 03:43
you know, procreate and they do all the things that we do,
03:43 - 03:45
like in terms of physiological functioning,
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but what they don't have is what he calls this universal instrument of reason
03:50 - 03:51
or rationality.
03:52 - 03:55
Um, so that's the big question for us. Now.
03:55 - 03:59
I think nowadays Deckert has been mostly rejected on
03:59 - 04:04
this point and it's like we don't we don't take
04:04 - 04:08
him very seriously anymore in terms of assuming that
04:08 - 04:11
humans are the only ones that possess a rational,
04:11 - 04:13
what he calls a rational soul.
04:13 - 04:16
We have a mind, we have rationality.
04:16 - 04:22
Who knows if we have a soul as we talked about, that maybe is not easy to prove. Um, but
04:23 - 04:27
other animals also have rationality and show intelligence in various ways.
04:27 - 04:31
And so Decker has mostly been rejected on that point.
04:31 - 04:33
Um, but it is an open question,
04:33 - 04:39
how much of what other animals do mimics our own intelligence?
04:39 - 04:43
And like is there a sliding scale? Is it a matter of degrees?
04:43 - 04:47
Are there just are there certain mental things that we do that animals just can't do?
04:47 - 04:50
Um And you probably have some intuitions about this.
04:50 - 04:52
You probably if you're like,
04:52 - 04:56
most people think something like this chimp here or this bonobo,
04:56 - 04:58
the baby bonobo there, and then there's the chimp,
04:58 - 05:01
those are two closest genetic relatives.
05:01 - 05:06
Um and it makes sense that they probably do something similar to us
05:06 - 05:10
in terms of their intelligence and maybe they fall short a little bit,
05:10 - 05:14
but they're probably like way up there as are dolphins and elephants.
05:14 - 05:15
We know that elephants, for example,
05:15 - 05:21
have a high capacity for emotional reasoning and things like that.
05:21 - 05:24
Um And maybe down below elephants and dolphins,
05:24 - 05:28
you might have like your dogs and your cats and way way down.
05:28 - 05:30
You might have things like bugs and
05:30 - 05:32
other insects, right?
05:32 - 05:35
Um That that's the typical view of animals is almost like a hierarchy of like,
05:35 - 05:40
humans at the top and then all the way down to amoeba or something.
05:41 - 05:46
Um I'm gonna challenge that picture this week because it doesn't always hold up as,
05:46 - 05:50
you know, I've worked a lot on dogs and I think that dogs, for example,
05:50 - 05:55
have some intelligence that supersedes even chimps and a lot of domains.
05:55 - 05:58
This doesn't mean that dogs are smarter than chimps on the whole,
05:58 - 06:01
just that they have certain things they can do that chimps can't do?
06:01 - 06:04
Um And dogs have things they can do,
06:04 - 06:09
that little babies can't do like even little one year old, two year old toddlers.
06:09 - 06:10
Um
06:10 - 06:13
So we need to think about what we what we mean by intelligence,
06:13 - 06:15
What does it even mean to be an intelligent
06:15 - 06:18
being to have a mind to have consciousness?
06:18 - 06:19
Those things are still not,
06:19 - 06:23
they're not entirely understood by philosophers generally.
06:23 - 06:26
Um And then we're gonna go into the world of animals and
06:26 - 06:28
we're going to look and see if we can find those things,
06:28 - 06:29
but we don't even know what we're looking for.
06:29 - 06:31
100%. Right? So
06:32 - 06:34
That's something that Andrews mentioned in the Chapter two,
06:34 - 06:35
that we need to think about.
06:35 - 06:38
What are we even measuring here? When we say, does this creature have a mind?
06:38 - 06:40
It's so vague.
06:40 - 06:43
The question we need to pinpoint more specifically,
06:43 - 06:51
are we looking for evidence of linguistic reasoning, of mathematical reasoning?
06:51 - 06:53
Are we looking for spatial reasoning?
06:53 - 06:56
There's a lot of ways that we can measure quote unquote intelligence.
06:56 - 07:01
So that's what we're going to think about as we go through this particular chapter.
07:01 - 07:04
Um So like I said,
07:04 - 07:11
what defines human thinking um in humans at least some of the
07:11 - 07:17
hallmarks are being able to do rational thought processes or you know,
07:17 - 07:21
to possess rationality, as Deckard says that the sort of universal measure of
07:21 - 07:24
um having a mind for him and that's for him,
07:24 - 07:26
you go around and you look in the world
07:26 - 07:30
and you see what beings exhibit rational thought.
07:30 - 07:35
And it seems to be only humans, he he thinks um And that's what we, you know,
07:35 - 07:37
I think we're going to challenge that pretty well this week.
07:38 - 07:40
Another question is of course about language.
07:40 - 07:41
If you think for example,
07:41 - 07:46
that language is something that's required for intelligence,
07:46 - 07:49
um that's gonna beg a bunch of questions, right?
07:49 - 07:51
Because so for instance,
07:51 - 07:53
having let's just think about what it even
07:53 - 07:57
means to have a language that's already a questionable
07:57 - 07:59
um topic, right?
07:59 - 08:02
Like it's it's contentious because language
08:02 - 08:05
maybe something just like communication capacity,
08:05 - 08:10
which lots of species have if we limit it to human language with like, you know,
08:10 - 08:13
the symbolic structure of grammar and all that.
08:13 - 08:15
Um Okay, that's maybe a little more precise.
08:15 - 08:19
And now we can really see why only humans would count. Perhaps.
08:19 - 08:23
Although I'll talk about dolphins in a second and what they can do. Um
08:24 - 08:27
But then what about like little kids that are not linguistic yet?
08:27 - 08:31
You've got babies up to like the age age 2.5 3
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before they can really comprehensively grasp their language and use it?
08:36 - 08:40
Right. So do they not count as having a mind? Um
08:41 - 08:43
And furthermore, as we just talked about robots,
08:43 - 08:47
machines that process language sometimes even better than we do
08:47 - 08:50
as humans because they can correct our grammar for us and
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they can process words and meanings and translate for us
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and do all the stuff that we can't even do.
08:56 - 08:57
So, would they count them?
08:57 - 09:00
Because if language is the thing that makes us intelligent,
09:00 - 09:03
then maybe we have lots of examples of it.
09:03 - 09:07
Um One of the things that andrews of course talked about in this chapter that
09:07 - 09:10
she proposes that I think we should consider
09:10 - 09:15
is um flexibility of thought and adaptability.
09:15 - 09:16
In other words,
09:16 - 09:21
the capacity to change in response to one's environment
09:21 - 09:24
and to meet challenges that that environment poses.
09:24 - 09:27
Um in ways that solve problems right to to
09:27 - 09:31
solve to basically have problem solving skills on the fly
09:31 - 09:33
to like not just pre program like this is how
09:33 - 09:36
I'm going to solve this problem every single time.
09:36 - 09:38
But this is a new problem.
09:38 - 09:40
I've never seen it before and I'm gonna use a little
09:40 - 09:44
bit of ingenuity and creativity maybe to get around the problem.
09:44 - 09:47
And if we think about the example that she brings
09:47 - 09:49
up in the chapter of the gray lag goose.
09:49 - 09:51
Um and it engages in this egg rolling
09:52 - 09:56
behavior. It's a it's a very like hardwired um
09:58 - 10:02
inflexible behavior that this goose engages in and
10:02 - 10:05
it does it presumably to keep the egg
10:05 - 10:11
warm evenly warmed and so it will um it will hatch properly and all of that.
10:11 - 10:15
But there's nothing about that behavior that seems to be
10:15 - 10:19
flexible or adaptable and we know this because if you take
10:19 - 10:22
the egg away from the goose as you see in
10:22 - 10:26
the picture here and you replace it with another object.
10:26 - 10:27
Um
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Something that looks roughly like an egg or shaped like an egg.
10:30 - 10:33
The goose will continue to roll that object around nonstop.
10:33 - 10:37
It'll even do this with an object that doesn't look like an egg at all.
10:37 - 10:40
Um I'll post a video of this on blackboard for you.
10:40 - 10:42
So you can see an action that's happening.
10:42 - 10:44
But this is a case where I wouldn't say that the
10:44 - 10:47
goose has a lot of intelligence about what it's doing.
10:47 - 10:50
I mean it might be perceiving the world, it might have consciousness.
10:50 - 10:55
It might be like having conscious experiences, but it's certainly not reckon
10:55 - 11:00
using any pattern differential there in the egg, it's not solving any problems.
11:00 - 11:03
I mean it's not freaking out looking for its egg,
11:03 - 11:05
it doesn't even realize its eggs been replaced.
11:05 - 11:07
So this is kind of a good indication that
11:07 - 11:10
that goose isn't the brightest bulb in the box,
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at least not in this particular instance.
11:12 - 11:15
Um But you contrast that with
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this other case of like what dolphins are capable of doing.
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They have all sorts of flexible behaviors.
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They use echolocation to communicate with one another
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about the locations of food in the ocean.
11:29 - 11:32
Um I'll post a video of this also that they've
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been shown to be able to comprehend what symbolic um
11:39 - 11:40
images stand for.
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In other words, if you show them like an image of something that is like, I don't know,
11:45 - 11:47
it just looks like a dolphin in the air.
11:47 - 11:50
That means to the dolphin go jump so that you can
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train dolphins to go do these tricks basically based on um
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um an image that doesn't necessarily mean jump. It's almost like reading right?
11:59 - 12:01
You might think that the dolphin is actually reading
12:01 - 12:02
in this case because it sees a symbol.
12:02 - 12:05
It knows that that symbol means go do a jump or go do a
12:05 - 12:08
tail flip or something like that and that tells the dolphin to do it.
12:08 - 12:12
So the dolphin reads that sign with me, no verbal cues whatsoever. And does it?
12:12 - 12:15
I mean that seems like a little bit more higher level intelligence.
12:15 - 12:20
But we might argue that the dolphin has been trained to do this
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and it's not learning from the environment so much as just being conditioned
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with food.
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Um and the behaviorist that we talked about behaviorism a little bit, you know,
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a couple of weeks ago and that's exactly how behaviorism operates.
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It's like assuming that the dolphin can
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be ultimately controlled through positive reinforcement.
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And does that count then as actual intelligent,
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flexible learning is it's doing something that counts as having
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cognition and rationality the way day kurt would have thought.
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So the dolphins are actually, it's a questionable case whether dolphins
12:55 - 12:58
capacity to potentially read counts
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if you contrast that though with like what we know crows to be able to do.
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I think this is where we start to see some
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seriously flexible learning and crows are birds just like geese,
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but they are in a different family there
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in the corvidae family and corvids like crows,
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Ravens, scrub jays, steller jays, they are all like in
13:18 - 13:22
um incredibly intelligent birds compared to geese. I think.
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I mean overall in terms of testing,
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we know that they can do some pretty impressive
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stuff compared to geese and crows for example,
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can be um taught to pick up trash and bring it in exchange for treats.
13:34 - 13:36
Um Now again, this is positive reinforcement,
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but the thing that crows do that's interesting
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is they will adapt and learn on their own
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new strategies for getting treats like on there
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without humans having to interfere in other words.
13:47 - 13:47
So,
13:47 - 13:51
crows in japan have been observed to take nuts um that they
13:51 - 13:54
can't crack on their own and they will drop them into traffic
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um and get the traffic to run over the nuts and open them for them.
13:59 - 14:03
So this um we're gonna stop the video here and think for
14:03 - 14:07
a second about how the crow's behavior that I just described would
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really indicate that there's something going on there that they're able to
14:11 - 14:15
develop new strategies on their own without the help of humans.
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And that's gonna be one of the hallmarks for
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the study of animal cognition is whether or not humans
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get in and interfere with the process.
14:25 - 14:29
Does that change whether we want to consider the animal intelligent or not.
14:29 - 14:32
Usually, researchers think, yes it does.
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That's one of the things we don't want to do is take an animal
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and pull it into the lab and do all this stuff with it.
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Because then you've like,
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you've meddled with the animal's natural environment so much
14:41 - 14:43
that we can't say it naturally has this intelligence,
14:43 - 14:46
It's been trained up like a circus monkey, right?
14:46 - 14:48
So we're gonna think about that and look at what andrews
14:48 - 14:50
has to say about all that in the next video.
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