"... In PAGE 5: ...In the Table 1, we give the values associated with the friend moves in the games of J1 for the three strategies : Games\Strategies Risky Average Safe GG 0 0 0 GI 0 1 2 GP 2 2 2 IG 0 -1 -2 II 0 0 0 IP 2 1 0 PG -2 -2 -2 PI 0 -1 -2 PP 0 0 0 Table 1 We give in Table2 the values associated with the moves of some games in the set J2 for the three strategies in a complex game, using Valc : Games\Strategies Risky Average Safe GGGG 0 0 0 GGGI 0 1/2 1 GGII 0 1 2 GIGI 0 0 0 GIII 0 1/2 1 IIII 0 0 0 IIIP 1 1/2 0 IPIP 0 0 0 IIPP 2 1 0 IPPP 1 1/2 0 PPPP 0 0 0 Table 2 We can use a smoother value of risk if we let the Unknown parameter take real values between -1 and +1. We obtain a continuous model of risk as shown in Figure 1 :... ..."

"... In PAGE 13: ...Table3 : System parameters for fastest Supercomputers from 1997 to 2006. UKWN represents unknown values.... ..."

"... In PAGE 12: ... Figure 3: Theoretical peak, memory bandwidth and total memory for some of the recent supercomputers. Table3 : System parameters for fastest Supercomputers from 1997 to 2006. UKWN represents unknown values.... ..."

"... In PAGE 10: ...viii List of Tables Page Table 1 Model variables and parameters 51 Table 2 Prey base at the stopover sites 53 Table 3 Energy gain rates at stopover sites 54 Table 4 Weather stations for wind data at sites 55 Table 5 Targets for migration peaks 56 Table6 Parameter values 57 Table 7 Sample parameter tuning results 58 Table 8 Lengths of stay and percentage skimmed 60 Table 9 Elasticties 61 ... In PAGE 44: ... I made the predation rates at the stopover sites tuned parameters (see below). Parameter Tuning Approach Most parameter values were set from various data sources ( Table6 ). For the unknown parameters (Table 7), I ran tests to select between different parameter values (subsequently referred to as different versions of the model).... ..."

"... In PAGE 10: ... In all the runs, the number of components never exceeded 24, hence the chosen value of kmax was inconsequential. Estimated posterior probabilities are given in Table1 . In each of the data sets, it is immediately apparent that there are a number of competing explanations of the data which are tenable.... In PAGE 18: ... Similar plots were obtained for the other data sets. Proportions of accepted `split or combine apos; moves vary between 8% and 14% ( Table1 ). For dimension changing moves, these proportions are satisfactory and show that our proposal based on adjacency is sensible.... ..."

"... In PAGE 10: ... In all the runs, the number of components never exceeded 24, hence the chosen value of kmax was inconsequential. Estimated posterior probabilities are given in Table1 . In each of the data sets, it is immediately apparent that there are a number of competing explanations of the data which are tenable.... In PAGE 18: ... Similar plots were obtained for the other data sets. Proportions of accepted `split or combine apos; moves vary between 8% and 14% ( Table1 ). For dimension changing moves, these proportions are satisfactory and show that our proposal based on adjacency is sensible.... ..."

"... In PAGE 10: ... In all the runs, the number of components never exceeded 24, hence the chosen value of kmax was inconsequential. Estimated posterior probabilities are given in Table1 . In each of the data sets, it is immediately apparent that there are a number of competing explanations of the data which are tenable.... In PAGE 18: ... Similar plots were obtained for the other data sets. Proportions of accepted `split or combine apos; moves vary between 8% and 14% ( Table1 ). For dimension changing moves, these proportions are satisfactory and show that our proposal based on adjacency is sensible.... ..."