Bugmaster wrote:I've labeled your statements below, for easy referencing:
harvey1 wrote:a). The only access we have to the real world, is the model. In fact, the model tells us what is the real world. If the model is wrong, then we aren't talking about a real world, and our success at manipulating nature is based on false premises...
b). And, we can use different language to describe a sunset. But, it is a sunset that is being described...
c). We live in a causal world. That causal world obeys certain laws that humans have done a good job in modelling. The basis of any real world model is logico-mathematical implication. If the world all of a sudden didn't obey logical implication, then our ability to do science would cease.
d). I'm saying that logical implication, or causal laws acting in the real world, are real. That is, they refer to a set of rules that reality plays by, and by knowing these rules that reality plays by we can directly see how one state of affairs can bring about another state of affairs.
Firstly, I think your statements (a) and (b) are in conflict with each other. If the only way we can know the real world is to use our model, then we cannot say, "in reality, all our models describe the same sunset" -- at least, we can't say that with certainty.
In the case of a sunset, our main "model" is our own personal experience. However, we can use that main model to also construct other models of the same experience (e.g., poetry of a sunset). We use our personal experience to extend our knowledge to scientific models which may be very distant from personal experience. If the model is very far removed from personal experience (e.g., the detection of quarks), then we cannot rely on personal experiences at all. Therefore, our notion of real is dictated by the model and not the main model of our perceptions (at least directly). That's why (a) and (b) are not in conflict.
Bugmaster wrote:The best we can hope for is, "to the best of our knowledge, there's something in this world that behaves very similarly to our sunset models".
This is like saying the best we can hope for is, "to the best of our knowledge, there's a world for us to know that behaves very similar to the world our senses bring to our awareness." For example, if I were to learn how to speak Swahili, I might wonder whether I'm really learning Swahili, or just a good approximation of Swahili. Yet, if I am speaking Swahili, and understanding someone who speaks Swahili, and they say that they understand me, then on a principle of charity I have to assume that I indeed am speaking Swahili and that my colleague really does understand me when I say something in Swahili (e.g., "that a rabbit just ran by"). Now, it's always
possible that I am not learning Swahili correctly--my word for rabbit is wrong, and even my Swahili friend doesn't think it's a rabbit in the first place. However, I am forced by this principle of charity to believe that I speak and understand real Swahili, and that my colleague really speaks and understands what I say and has the same definition of rabbit as I do.
Similarly, we are forced by a principle of charity to assume that there really is a world outside of ourselves. Of course, we cannot defeat extreme skepticism without having some kind of unproven belief, but this belief is justified even if it is unproven. There is room in this argument to include scientific models as being
caused by real features of the world. It's true, we can't say for certain that our models are true, since there's always something that can be left out (just like my Swahili colleague might mean something different by his Swahili terms), but as an interpretation we are justified in believing that our language is from the same source (i.e., a result of the real world).
Bugmaster wrote:I'm not sure what you mean by a "logico-mathematical implication" in statement (c). If you mean something along the lines of "a->b; a; therefore b", then you're not entirely correct. Science deals with probabilities, not "hardwired" boolean implications. However, I would obviously agree that science uses math and logic to build its models. However, when you say, "we live in a causal world", what you really mean is, "the world seems to work according to certain rules that fit our causality model". You're still talking in terms of models, just as in (a).
Again, we have no reason to doubt that the world conforms to causal laws. Even probablistic laws are causal laws, just with an added feature in that they are not deterministic laws. For example,
Born's postulate is a causal law, it's just not a deterministic law in the sense that we cannot predict the actual precise value of P(x). Let's put it this way, we have no more reason to doubt Born's postulate than we do each other's existence. Therefore, we are justified in some unproven beliefs by the mere fact that all of our beliefs are based on something as being unproven. Under certain special circumstances, some of the equations of physics (within the domain that they apply), justifies our belief in their reality as being the way they are because of some direct or indirect causal feature of the world (i.e., the way the world actually is). In the same manner, our personal experiences justify our belief in the reality of those experiences as being the way they are because of some direct or indirect causal feature of the world (i.e., the way the world actually is).
Bugmaster wrote:However, I don't see the justification for jumping from (a), (b), and (c) to (d). Statement (d) doesn't merely state, "our models seem to work", it says, "at least one of our models -- the implication -- describes the real world with 100% certainty". To me, this sounds pretty close to dualism, since implication is not the kind of thing that you can see or smell or measure in any way. Thus, the claim "implication is real" sounds quite extraordinary to me (along with other claims, such as "F=ma is 100% true for all cases"), and I'd need extraordinary evidence before I can believe in it.
I'm not suggesting that we know we have modelled logical implication in its purest form. For example, let's say that category theory is the actual language of reality, but let's say we are using set theory. In that instance, (d) is saying that set theory is indirectly referring to the language of category theory in an approximate fashion. However, there is an objective account of logical implication (i.e., in this example, category theory) that make up the real causal laws.
Of course, category theory, set theory, and every other formulation known to humans may be far removed from the primitive causal laws as they really are, but due to this principle of charity I mentioned above we are justified in believing that our sense of logical implication is a set of rules that reality plays by. We can pretty much know they are not the ultimate set of rules, but we are justified in believing that they are a set of rules that are causally related to the fundamental truths of the world (e.g., a principle of causality).
Bugmaster wrote:Is there really ? I haven't thought about this in depth, but it seems like I'd be able to construct any number of formulations of the same laws. At least, in the trivial case: for example, there's an infinite number of integer bases for math, and thus I could count objects in an infinite number of ways.
I'm talking about equivalent languages that are non-reducible. We can reduce or translate base 10 to base 2, and so on, but we may not be able to reduce category theory into set theory (or vice versa), but we can show how they can produce equivalent expressions of mathematics. I don't believe there's an infinite number of
fundamental formulations. If so, then where are they? Set theory, although we can build all kinds of varieties (e.g., ZF, Neumann, etc.) is still a set theory. Similarly, if there are an infinite number of equivalent formulations of physics besides Lagrangian, Hamiltonian, Newtonian formulations, then where are they?
Bugmaster wrote:I would personally say that aesthetic and parsimonious factors are just heuristics that reduce the number of models you have to actually test (since testing is expensive in terms of time and money). Science ultimately is all about observational success; it doesn't matter how elegant your model is, you still need to test empirically in the end.
This seems to run contrary to the
Quine-Duhem thesis which states that:
In words, the failure of some theory implies the failure of at least one of its underlying hypotheses. It is always possible to resurrect a falsified theory by claiming that only one of its underlying hypotheses is false; again, since there are an indeterminate number of such hypotheses, any theory can potentially be made compatible with any particular observation. Therefore it is in principle impossible to determine if a theory is false by reference to evidence.
Bugmaster wrote:I wouldn't call particle physics "true"; I'd only call it "pretty damn accurate". There's a big difference there. Newtonian mechanics is also pretty damn accurate in most cases.
In the domain where the theory is applicable, there is
something true of these theories, otherwise they would only be lucky. For example, imagine a computer program that churned out
random theories of the world. Imagine also, an army of robotic physicists each equipped with a lab that could make any
real observation/experiment conceivable. The program churns out theories that make predictions, and just as quickly the robotic physicists test the theories. The theories that make correct predictions are published, and the theories that are wrong in their predictions are deleted from the harddisk. Now, in such a hypothetical world, these "physicists" are bound to produce theories that agree with observation, by definition. However, the theories themselves may be completely non-sensical. With enough hypotheses tacked onto a random theory, observables can be found to agree with what is observed. The theories have no basis in reality whatsoever because they don't reduce or expand into more comprehensive theories as current physics theories do. They are randomly connected.
Since this is not what we see in actuality, the idea behind anti-realism must be false. Hence, the models of science are mostly true, i.e., approximately true.
Bugmaster wrote:Either that, or there's something about us humans that makes it very easy for us to break down complex natural phenomena into simple, elegant chunks, in order to understand them better. I think both explanations are at least equally plausible.
I don't think postulating something internal to humans is a reasonable explanation. Engineers can reverse engineer a complex system, and the system is almost always a very complex explanation as to how it works, completely outside the grasp laypeople and engineers who are working on other projects. Even people on the same project are not able to grasp the generalities on a different but related component. Cosmologists, though, as they reverse engineer the causes of the universe, can utilize the quantum laws and general relativity laws to explain in principle just about everything we see. In fact, particle accelerators can
recreate the environment of the universe when it was a trillionth of a second old. None of that makes a lick of sense if scientific anti-realism is correct.