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MURC proposals

MURC proposal

Here’s mine – I tried to submit about four times and got ‘error updating database’ each time so…I’m not really sure what to do about that. Also yes, I know, needs more refs.

A Map Out of Eden: How evolutionary theory can be used to trace change in religious ideologies

I am interested in examining whether evolutionary theory can be applied to document the changes in religious institutions and ideals over time. While some work has been done relating evolution and religion, much of it has been in the field of evolutionary psychology, in trying to discern the adaptive role of religion in terms of biology and psychology, rather than examining religions themselves (Sosis and Alcora 2003). A small amount has also been done in the newer field of memetics, treating religious beliefs as a type of meme (Rachlin, 2007), but evolutionary theory hasn’t been directly to religion without the somewhat undefined intermediary of the meme. For example, does the geographic split between the Eastern and Western Orthodox churches represent a form of selection? Can we apply the concept of lateral gene transfer – the idea that genetic information can be transmitted to peers rather than to descendants – to ideas? Given these things, is it then possible to construct phylogenies of religious sects based on when a given theory was accepted or rejected by the sects? To answer these questions, I plan on examining major theological schisms in Christianity and the historical events that lead to them, to see if a historical map of the branchings can be constructed. I am particularly interested in dealing with Christianity as a model, because it’s large, with a long history, and has had a large number of idealogical schisms over that history, resulting in a a multitude of sects which share some central ideals but are otherwise very diverse, to the point of seeming like entirely different religions to outsiders.

Rachlin, Howard. ‘Cui bono? A Review of ‘Breaking the Spell: Religion as a Natural Phenomenon’ by Daniel C. Dennett’. Journal of the Experimental Analysis of Behaviour. 87 (2007): 143–149

Sosis, Richard and Candace Alcora. ‘Signaling, solidarity, and the sacred: The evolution of religious behavior’ Evolutionary anthropology. 12.6 (2003)

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MURC proposals

Not everything is an adaptation: applications of neutral evolutionary models outside biology

(my submitted MURC proposal)

Academic disciplines tend to focus on elite groups of particularly charismatic topics. Evolutionary biology traditionally favoured animals – a particularly bizarre offshoot in the world vastly dominated by unicellular lifeforms, thereby not particularly representative of the general mechanisms of evolution. The integration of microbial and molecular evolution has brought some paradigm shifts to biology, such as the neutral theory of evolution (Ohta 1992 Annu Rev Ecol Syst). However, the popularized version used outside biology remains predominantly zoocentric.

Much of ‘traditional’ evolutionary theory, as applied outside biology, tends to focus on heavily selectionist explanations, especially for instances of increased complexity. In evolutionary biology, it is becoming evident that not all increased complexity is adaptive (eg. Stoltzfus 1999 J Mol Evol; Lynch 2007 PNAS), and it would be interesting to extend this paradigm shift to areas of applied evolutionary theory, such as linguistic and cultural evolution.

For example, it has been known in biology that the effective population size impacts the selective ‘tolerance’ in a system, placing heavier pressure on efficiency when these populations are larger, as in prokaryotes, and exhibiting greater lenience in smaller populations, promoting the evolution of cumbersome lifeforms such as mammals (Lynch 2007 PNAS). A recent study (Lupyan & Dale 2010 PLoS ONE) found a tendency for small isolated (esoteric) languages to exhibit higher morphological complexity than their exoteric counterparts. I would like to explore this phenomenon using effective population size, in conjunction with or as a replacement of some explanations offered in the paper, such as simplification by bilingual speakers.

I intend to examine these and other case studies in attempt to examine whether the application of neutral evolutionary models can aid our understanding of non-biological evolution. It is evident that strictly selectionist explanations are insufficient to explain non-biological evolutionary phenomena, which may benefic greatly from a more pluralistic approach.

***

Exam tomorrow morning, so this is all I’m gonna care about. But do leave comments and criticise the hell out of it — will try to get around to this after the break.

Btw, let’s make these drafts suffice for this week’s weekly blog post. Also, would you guys like to make an extra ‘bonus post’ during the reading break to make up for a missing one either from the past or in the future? Would that be fair?

PS: ahhh the fallbacks of being an admin: ALMOST accidentally posted this as a ‘page’ rather than a ‘post’… >_>

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MURC MURC proposals

Peter’s MURC Proposal Draft

AN AUTOPSY OF THORN

Although much scholarly ink has been spilled on the topic of changes in spoken English over the centuries, precious little has been put to paper on the topic of mutations in the orthography, and even less about the phasing in and out of particular characters. In particular, the letter thorn, which started out as a representation of the sound in modern English modeled by the “th”, has had little or no attention paid to it. The question is, why would English adopt this letter into the otherwise Roman alphabet, only to lose it a couple centuries later?
The first step toward answering this question will be to look at the dates during which thorn was used. These can be established fairly easily by examining texts, so as to find its first appearances and its final appearances in the English language. Once these are known, examining the culture and language of the time should be indicative of the rough context in which the thorn was preserved; once these have been established, I would only need to find a set of factors that were lost at roughly the same as the thorn in order to come to a conclusion as to its cause of death, as it were.

Sources:
Nevalainen, Terttu, and Helena Raumolin-Brunberg. Historical Sociolinguistics, Hong Kong: Pearson Education Limited, 2003.

Smith, Jeremy J. An Historical Study of English: Function, Form, and Change. New York: Routledge, 1996.

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MURC MURC proposals

Scott’s MURC proposal – draft

To what extent does imitating biological evolution benefit genetic programming?

Genetic algorithms are a set of search algorithms that have been inspired by biological evolution [holland]. They have been used in applications from *** to creative logo design[blprnt], by using variations of biological mutation, fitness-based selection, and populations.

Over the years, the benefits provided by copying biology have been debated. For example, the inclusion of sexual recombination, which is a part of nearly all plant and animal reproduction, drastically degrades the performance of genetic algorithms [nordin] something which evolutionary biologists still don’t have a computationally sound explanation for in biology (R. Redfield, personal communication, February 4, 2010). On the other hand, biological evolution has produced solutions to many different environmental conditions – from the darkest sea-floors, to the driest deserts – which could be used to inform computer science.

There is already a selection of literature on genetic algorithms which would allow a review to explore which aspects of biological evolution are worth emulating, and which have been unhelpful to the field of computer science.

By summarizing the state of the art of genetic algorithms, and comparing that with an introductory understanding of biology, I hope to describe several mechanisms of biological evolution, how they transfer to genetic algorithms, and present a base comparison of whether they are useful in computer science. Due to the situational nature of the search problems to which genetic algorithms are applied, I would expect categorical classification of benefit of these mechanisms to be difficult.

[holland]
Holland, John H. Adaptation in Natural and
Artificial Systems. Ann Arbor, MI: University
of Michigan Press 1975.

[nordin]
Peter Nordin, Frank Francone, and Wolfgang Banzhaf, 1996, Explicitly defined introns and destructive
crossover in genetic programming, Advances in Genetic Programming 2, chapter 6, pp. 111–134, MIT
Press, Cambridge,MA, USA.

[blprnt] www.blprnt.com/variance/

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