Simulating Language 2015, pre-reading 4 questions Question Title * 1. Which of the following is an accurate summary of the simulation parameters used by Oliphant? Population size = 100; mutation rate = 27% chance of mutation per bit; 10% chance of crossover per genotype Population size = 100; mutation rate = 27% chance of mutation per bit; 10% chance of crossover per bit Population size = 100; mutation rate = 27% chance of mutation per genotype; 10% chance of crossover per bit Population size = 100; mutation rate = 27% chance of mutation per genotype; 10% chance of crossover per genotype Question Title * 2. Oliphant uses Monte Carlo simulations to evaluate communicative accuracy of his population. Based on your own experiences with this technique, did you find the number of trials he used too small, too large, or about right? Explain why. Question Title * 3. Which of the following conditions result in the evolution of Saussurean communication in Oliphant's model? Sender and receiver both benefit from successful communication Only the receiver benefits from successful communication Only the receiver benefits from successful communication, and senders remember their previous interaction with this receiver. Only the receiver benefits from successful communication, and the population is spatially organised. Question Title * 4. In your own words, explain why communication fails to evolve in the condition(s) you didn't select in the previous question. Question Title * 5. Is there anything you would like me to know before the lecture - any stuff you want me to go over again, anything you struggled with, any worries you have? Done