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University of California, Berkeley
1. Hello, this is your brain, reading about your brain, reading about your brain
Consider the following question: why are we conscious?
I get it; pondering consciousness sounds like an activity only enjoyed by nerds, people who are high, those of us who have found a moment of post-yoga stillness, or people who fit in all three categories at once. But notice that we do not tell our heart to beat or our cells to grow, we do not have to think about focusing our eyes, and we do not consciously will our bodies to inject adrenaline into our bloodstream when something scary happens. These things happen more or less automatically, and if such highly complex tasks can happen without our attention or willpower, why should other complex tasks—like choosing what to eat for breakfast—require conscious awareness? How hard is choosing which flavor of yogurt to eat? And do we really need to be conscious to determine that we should peel a banana before biting one? (more…)
City College of New York
Information can be defined as any sequence or arrangement of things that can convey a message. Here I would like to focus on information coded by biological organisms and how that information is related to their identity. The essence of living things has been difficult to define conceptually. Living things or biological things have certain properties which are unique to them and which are absent in inanimate matter. Defining life has been an ongoing problem for scientists and philosophers, but what is more puzzling is that living organisms do not appear to be defined by the conventional rules of identity. To illustrate what is meant by conventional rules let us look at the Ship of Theseus paradox, which begins with an old boat made of old parts. As this boat is renovated and the old parts are replaced with new ones, it gradually begins to lose its identity. When all the parts of the ship are eventually replaced, can we still say this new renovated ship is the Ship of Theseus? If so, what if we reassembled the old ship from the old parts? Would Theseus now possess two ships? In this paradox it is clear that the problem of identifying the ship stems from defining it in terms of its old and/or new components. The conflict of identity exists because old components are replaced with new ones, confusing our common-sense notions of continuity. (more…)
The City College of New York
I: A Discourse of Biological Concepts
In the last century great leaps in technology and scientific understanding have allowed us to thoroughly investigate our bodies and how they function. Our recent knowledge of the chemical and biological sciences has revealed some profound philosophical implications concerning our identity and the identity of other living organisms. Concepts in biology tend to neatly segregate definitions in binary terms in the same way classical logic does. Some of these concepts include the definitions of what is living and non-living, what is cancerous and non-cancerous, animal and human, male and female—and so on—but such definitions are far from clear. In the most extreme cases, binary definitions within biology that rely on classical logic and the laws of identity could perpetuate chronic illness. Such definitions could also hypothetically lead to violations of animal and human rights. We must understand that the traditional logic that has been the foundation of mainstream biological understanding for the past two thousand years has a number of shortcomings.
Living systems enjoy such a high degree of complexity that it becomes necessary to distinguish them from non-living systems. But the segregation between living and non-living entities quickly becomes vague and hazy when we consider the evolution of life or the origin of the first living organism: if the origin of life is continuous with non-living chemical and physical processes then at what point does something become living? At what point can we define a substance as a living thing? With the rejection of vitalism, the idea that there is an essence in the constitution of all living things which is fundamentally different from the constituents of non-living things, we have found that all matter is made of the same stuff at the fundamental level of atoms and molecules.
Evidence in the field of evolutionary biology suggests that within living organisms all species had a common ancestor along with the capacity to transition into different species under environmental pressures and natural selection. Using this evidence we can also draw the conclusion that it is not only life that is defined vaguely in the biological sciences, but also the concept of species. Speciation is also a gradual process, a process of transition. Such processes are difficult to define using classical logic because they are processes that involve change. At what point does one species transition into another? Later I will illustrate the shortcomings of the biological definition of species by way of a thought experiment. What does this mean for our identity as humans and living things in general?
II: The Ship of Theseus and The Problem of The Heap
The problem with our traditional idea of identity is best illustrated by old and common philosophical thought experiments; this is why scientists ought to be speaking with philosophers of science. We can begin with the problem of the grain and the heap. Imagine we are attempting to define a heap of sand and we wish to discover when the heap of sand ceases to remain such. Of course the heap consists of grains, so if we were to one by one start removing them, it follows that at one point or another the heap will no longer fulfil its own qualifications. We might be so bold as to define a heap by an arbitrary number, say 30,000 grains. The obvious problem with this would be the lack of functional and phenomenal difference between an adequate heap and a pile of 29,999 grains. We could continue to remove grains but it would become difficult if not impossible to tell when the heap becomes just a pile: for all our merits we do not seem to be able to place a number or a concrete definition on what constitutes a ‘heap of sand.’ Even with our attempted definition we have but a vague idea of the boundary which separates a collection of grains and an adequate heap. A similar problem is encountered when we talk of the Ship of Theseus: as the ship undergoes renovations, the old parts of the ship replaced with new ones, the question of the ship’s identity is raised. If the renovated ship is a new ship, at what point is it no longer the old one?
The problematic definitions in biology have an identical form. Phenomena in biology are vaguely defined because they emerge from gradually changing events. We can reason similarly about the emergence of life or our definition of ‘living things.’ Is random DNA surrounded by a lipid bilayer a living organism? Or does that kind of organization of molecules only become living when there is some sort of metabolism involved? The ‘metabolism first’ hypothesis goes to the extreme of proposing that life began as a collection of metabolic chemical reactions that were catalyzed by simple catalysts (Prud’homme-Généreux & Rosalind Groenewoud, 2012) (Cody, 2004; pp.32). The hypothesis is bolstered by the observation that certain metabolic chemicals can be synthesized in the presence of simple catalysts like the transition metal sulfides, catalysts which existed on the Prebiotic Earth (Ibid.).
But even the ‘metabolism first’ hypothesis is unsure of when non-living things become living things. If we define something as ‘living’ just because it has a metabolism (a chemical reaction or a collection of chemical reactions that utilize energy according to the principle of steady state kinetics) then there are many things that we could, rather absurdly, deem living. We could purify a set of fatty acids and reconstitute a metabolic chemical reaction that uses steady state kinetics in a test tube, for instance, but by no means could we call this a living system (Xingye Yu, et al., 2011; pp.108). A living system as a whole has a certain degree of irreducible complexity that is hard to define in terms of its constituents. In the same way a collection of grains becomes a heap at a certain point of mass, the metabolic reactions and molecules in the living system must give rise to life at a certain point in life’s evolution. But just like the heap of sand, living things remain poorly defined if we attempt to understand them by way of classical logic and the laws of identity.
III: The Probabilistic Logic of Cancer
Cancer emerges as a result of genetic evolution. The difference between the evolution of cancer and the genetic evolution that gives rise to speciation, however, is that cancer cells (or cells predisposed to cancer) evolve quickly enough for their evolution to be observed. In cancerous cells changes in the DNA eventually accumulate until the cell’s mechanism of division is out of control. As a result cells start dividing rapidly and uncontrollably. The more rapidly a cell divides the more mutations it accumulates; and the cells that accumulate the greatest amount of mutations, that make cell division favorable, will out-compete the healthy tissues in our bodies. This is because cell division requires nutrition.
There are many kinds of cancers and not one is reducible to a single error or mutation in the DNA. At what point does a cell become cancerous? Once again this is a lot like the heap of sand problem, or that of the Ship of Theseus. One mutation of the DNA is certainly not enough to make a cell ‘cancerous,’ but it could predispose someone to developing cancer. We know that after the cell accumulates a certain number of crucial mutations it becomes (by our definition) cancerous, but there is no clear indication as to when the cell might become cancerous. Anyone could be at risk, and researchers fail to pay attention to the mechanisms and the processes by which a cell might become cancerous, instead concentrating on cancer’s medical symptoms. It should concern us that cancers do not become ‘illnesses’ until they are virulent, by which time it is often too late for effective treatment.
It is simple to identify a malignant tumor, but not so to identify a tumor that is on its way to becoming malignant. The most effective treatment for a tumor is, as with so many things, prevention. We do not, however, seem to acknowledge them until they become malignant, and this is a very dangerous way of thinking about cancer. For the future of medicine it is just as important, if not more important, that we begin to understand how predisposed people are to developing malignant tumors than it is to detect whether they actually have them.
Classical reasoning makes a binary distinction between the cancerous and the non-cancerous; probabilistic reasoning, on the other hand, can provide information on the possibility or likelihood of a tissue becoming cancerous, or the average age at which a predisposed individual may start developing a tumor. Such information would be essential to the early detection and treatment of all forms of cancer. By abandoning the traditional laws of identity and adopting the probabilistic binary terms we may begin to think differently about the nature of well-being and disease. The term denoting the disease must become less important than the relevant statistics that indicate an individual’s predisposition towards the disease.
Mutations in genes like BRCA1 and BRCA2, for instance, increase the risk of female breast and ovarian cancers, as reported by A. Antoniou et al. (2003). A woman carrying inherited mutations in BRCA1 and BRCA2 would certainly not be classified a cancer patient, but the probabilistic nature of the phenomenon—the fact that she is at a high risk for acquiring the disease—ought not be ignored. Let us say she has 65% chance of acquiring breast cancer; how would one define the tissues in her body? Are they cancerous? Are they 65% cancerous? Traditional laws of identity and classical logic would not be sufficient to properly define and understand this phenomenon or the evolution of cancer as a chronic disease. Other forms of logic, such as probabilistic logic, however, have emerged as useful methods for understanding this sort of issue.
Like many other biological concepts, speciation is problematic. Organisms tend to change over time due to mutations in their DNA; and, as I discussed previously, this process of gradual change presents a problem for static conceptions of identity. As a given species changes over time it becomes hard to define exactly when speciation occurs. At what point did hominids become humans, for example? And to what extent are our hominid ancestors human? We could say that the hominid is human to the extent that it shares common DNA with humans, but how could such a notion survive in light of the similarities of behavior and DNA between humans and chimpanzees? Chimpanzees do, after all, share more with us than with such other hominids as bonobos (Chimpanzee Sequencing and Analysis Consortium, 2005; pp.437) (Kay Prufer et al., 2012; pp.586).
It is also apparent that humans have similar brain structures to other hominids. Though volumetric analysis shows that, overall, humans have bigger brains than hominids, that is not to say we do not have similar sorts of brains (Katerina Semendeferi et al., 1997; pp.32). Hominids have frontal lobes, brain-areas that control social behavior, creativity, planning and emotion. According to evolutionary theory these structures found in hominid brains are identical to those found in humans. Humans and hominids share this brain structure because a common ancestor possessed it in the past: each inherited its brain structure from the same antecedent.
It is impossible, through the use of conventional rules of identity, to separate humans from animals. As mentioned above hominids possess the same brain structures as humans. That implies that to some extent hominids are like humans, in terms of behavior and biological constitution. If we could compare our hominid ancestor to the Ship of Theseus, humans would be the equivalent of a partially renovated ship because a lot of the old hominid structures, in fact most of the old hominid structures, are still a part of the human organism: humans would be the equivalent of a slightly upgraded hominid. Biologists attempt to adumbrate speciation barriers through a focus on reproduction, but this definition of species is problematic on account of its potential to violate human rights. The term ‘human species’ is synonymous with the term ‘human’ because, according to the biological definition, humans are a type of species. But how we generally think about humans is very different to how we think about the biological definition of the human as a species:
A ‘species’ is generally defined as an organism that is able to reproduce by breeding with another organism of the same sort. This simple classification puts us into the category of ‘human’ only so long as we are capable of breeding with another of our sort, i.e. a human. To demonstrate that our definition of ‘human’ as a species type differs from our definition of ‘human’ as an individual with moral capabilities and rights I intend to proffer another thought experiment: imagine there is a woman called Nancy. Much to Nancy’s frustration and confusion, she has been unable to conceive with her husband, Tom. Nancy and Tom have been to several different doctors and Nancy is ostensibly healthy. There is nothing wrong with her hormones nor her reproductive organs. She also ovulates regularly. Tom, too, is completely healthy. There is no reason as to why Nancy and Tom are unable to have children.
After a great deal of effort a scientist in Tom and Nancy’s town caught word of Nancy’s unusual situation. The scientist acquired one of Nancy’s eggs and studied it closely. He soon came to the conclusion that Nancy’s egg is simply incompatible with human semen. According to the biological definition of species, it seems Nancy has become another species diverged from humans. Yet she is human in every other conceivable way. If Nancy is not human in canonical biological terms should she still be subject to human privileges and treatment? Does she, in short, have human rights?
This thought experiment demonstrates the ethical issues involved in the biological definition of ‘human.’ Nancy is, in any respectable terms, a human being since she retains all the human traits we, as a species, value. The unfortunate circumstance that her egg is incompatible with human sperm seems rather trivial when set beside her overall portfolio.
V: Biology and Complexity
Biology as a science began with simple ideas and concepts. The field has become much more complex as our understanding of the biological and biochemical sciences progressed through the centuries. If there is an emerging theme within biology and biochemistry, it is that the more we know about biological and biochemical phenomena the more complex they seem to become. It is the nature of this biological complexity and its changing constituents that make classical definitions and identifications of biological phenomena difficult. These phenomena cannot be understood using traditional laws of identity and classical logic without gross oversimplification. These oversimplifications have consequences on how we think about the distinction between humans and animals, how we think about disease and risk, and might hypothetically lead to violations of human rights.
Annie Prud’homme-Généreux and Rosalind Groenewoud. (2012). The Molecular Origins of Life: Replication or Metabolism-First? Introductory Version. National Center for Case Study Teaching in Science George D. Cody. (2004).
Transition Metal Sulfides and the Origins of Metabolism. Annual Review of Earth and Planetary Sciences. 32.Xingye Yu et al. (2011). In vitro reconstitution and steady-state analysis of the fatty acid synthase from Escherichia coli. PNAS. 108.
A. Antoniou et al. (2003). Average Risks of Breast and Ovarian Cancer Associated with BRCA1 or BRCA2 Mutations Detected in Case Series Unselected for Family History: A Combined Analysis of 22 Studies. American Journal of Human Genetics. 72.
Chimpanzee Sequencing and Analysis Consortium. (2005). Initial sequence of the chimpanzee genome and comparison with the human genome. Nature. 437.
The bonobo genome compared with the chimpanzee and human genomes. Nature. 486.
Katerina Semendeferi et al. (1997). The evolution of the frontal lobes: a volumetric analysis based on three-dimensional reconstructions of magnetic resonance scans of human and ape brains. Journal of Human Evolution. 32.
[feature image by ‘Biodiversity Heritage Library’]
Kjetil K. Haugen
Molde University College
Let us imagine the following experiment. All modern computers, phones and tablets are equipped with a graphics card and a screen. Such a screen consists of thousands of pixels, each of which assumes one of the millions of colors in the color spectrum to create an image. If, as most are, the device is equipped also with an operating system (OS), a programmer may control the screen’s color output. Given this setup, assume we write the following simple computer program: For each pixel the screen, loop through all possible color combinations of all available colors for all pixels. In other words, Produce every possible combination of pixels.
This should be a relatively easy program to write. Even with my programming skills having long left me, I am sure that I would be able to achieve it. I have not done it, however. Why? Because I have not the time; such a program would have to present trillions upon trillions of combinations before it was finished. Thinking on the output and consequences, however, is more feasible. Even for a lazy old professor like myself.
What would happen as a result of this program’s execution is simple to foresee. Suppose a further program has enhanced the human mind to sort through all the possible pixel combinations in a blink of an eye, allowing us to eliminate the issue of time. As we performed a full enumeration, we would soon come to the realisation that the program has produced every possible, imaginable image conceivable to the human eye. Somewhere among the program’s immeasurable combinations you would catch images of your own birth, of Hitler using the bathroom, and even those of Jesus and Abraham, though you would of course have problems identifying them.
If we were to take the experiment one step further and add another out loop, collecting all possible sequences of still images and merging them to make movies, the reality runs as previously: with all possible moving images being generated. You could witness the Battle of Hastings in sparking 4K resolution.
Of course the problem with this is that the program would produce all possible images, not only images that have or have yet to occur. The program would generate every feasible occurrence, every slight nuance of reality, from the perspective of any simulated agent around the universe. Any images portraying true events would be a grain of truth buried beneath a world of falsehood. Or would they? This thought experiment raises the important question of what would make these images ‘truthful.’ Could the qualification be that they portray images of events that have actually happened, and if so how could we verify this? If we were to witness a scene of Marie Antoinette sipping at a glass of wine, could we claim any sort of truth about the image? It is unlikely that it would correspond with any visual data received by an agent alive at the time, but—even then—what if it did? Even if we were able to liken the present images to those experienced by real-life witnesses, the said agent’s memories would have long passed into nothing, into nonexistence. How could we regard these images with any notion of truth? It would be interesting to view images of familiar objects performing unfamiliar tasks, but what uses could such a gargantuan archive of visual date have?
These considerations are still somewhat obviated by the aforementioned time constraints. Even though modern computing devices are astonishingly fast and consistently getting faster, the time needed on a single computer would be entirely intractable. But if we were able to utilise all available computing power, that of all the billions of computers in existence, we must at very least be able to create a few images of interest. So, why not? I am sure some youngster out there could write the program and arrange some efficient distribution mechanism making us all a part of this great experiment. I leave it to you.