id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_qso7n4sk45g2zpasxiibyit6gi	Jason McKenzie Alexander	Epistemic Landscapes, Optimal Search, and the Division of Cognitive Labor	2015	30	.pdf	application/pdf	11862	987	65	The argument Weisberg and Muldoon provide for this claim uses a formal model of search strategies on an "epistemic landscape," a natural reinterpretation of the idea of a fitness landscape from evolutionary biology. The upshot is that, although there clearly are real benefits from the division of cognitive labor, the reasons have nothing to do with the epistemic reasons suggested by Weisberg and Muldoon's formal model. also referred to as the "HE rule" ðshort for "hill-climbing with experimentation"Þ only uses epistemic information, whereas mavericks and followers area of epistemic significance, and otherwise follows a straight line, with occasional random changes in direction. number of steps required for an agent to encounter a region of epistemic significance via a random walk ðheight of each column represents the expected number of Weisberg and Muldoon observe that the epistemic performance of a population of followers increases when mavericks are added to it ð247–48Þ.14 scientists have a greater epistemic performance than follower agents.	./cache/work_qso7n4sk45g2zpasxiibyit6gi.pdf	./txt/work_qso7n4sk45g2zpasxiibyit6gi.txt