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Let f d; U / be a function that determines the agreement point of the bargaining game d; U / That is, u D f d; U / It is de ned as f d; U / D d if they cannot agree The players might at least agree that f should be consistent with the following rules Rather surprisingly, if they do, then one can prove that (713) must characterize f : 1 Pareto optimality If f d; U / D u, then there can be no v 2 U such that v u and vi > u i for at least one i In other words, the agreement point must be on the boundary of U 2 Symmetry If d1 D D d N and U is symmetrical about the line u 1 D D u N , then f 1 .

1 + a + a2 = 0 j 2 = -1

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d; U / D D f N d; U / 3 Linear invariance If any player, say 1, decides to de ne a different point as his point of 0 utility, and/or to linearly rescale the units in which he measures his utility, then the bargaining solution is essentially unchanged It becomes transformed in the natural way That is, if d 0 D a Cbd1 ; d2 ; : : : ; d N / and U 0 D fa Cbu 1 ; u 2 ; : : : ; u N / : u 2 U g, then f 1 d 0 ; U 0 / D a C b f 1 d; U /, f j d 0 ; U 0 / D f j d; U /, j D 2; : : : ; N 4 Independence of irrelevant alternatives If U U 0 , f .

Any number of the above elds can be speci ed as wild cards, indicating that the rule should match all possible values for that eld. Typically, multiple access control lists are de ned in a rewall and are evaluated in the order in which they are de ned. For example, consider the following two rewall rules:

d; U 0 / D u and u 2 U , then f d; U / D u This says that if the set U is increased to U 0 and u is the solution within U 0 , but u happens to lie in U , then it must also be the solution for the bargaining game d; U / Example 76 (A merger of two rms) Suppose rm 1 is a cable operator who provides both cable local access and cable TV content Suppose rm 2 is a provider of an Internet portal service Both have customers and they intend to merge, since they expect the merger of the two businesses to be worth more than they are separately Suppose that separately they are worth d1 and d2 , and together they will be worth d3 , where d3 > d1 C d2 .

Nachtsheim, C., 20, 292 Nagler, J., 65 69, 88, 255, 291 Nair, K. R., 78, 291 Naor, J., 31, 281 National Research Council, 253, 292 Naylor, J. C., 109, 292, 297 Nechvatal, J., 56, 296 Nelander, K., 264, 280 Nelder, J. A., 6, 82, 98, 172, 173, 289, 292 Neter, J., 20, 292 Neumann, P. G., 1, 2, 32, 292 Newton, M. A., 106, 292 Ney, P., 123, 133, 268 Nicole, S., 102, 292 Nishimura, T., 35, 132, 289 Nissila, T. A., 38, 299 Nocedal, J., 84, 91, 97, 99, 100, 201, 206, 207, 292 Nordbotten, S., 102, 292 Noreen, E. W., 141, 292 Norris, J. R., 124, 292 Nummelin, E., 123, 125, 131, 133, 292 O Conner, M., 102, 281 O Hagan, A., 73, 107, 269, 292 O Leary, D. P., 172, 292 Oh, M-S., 107, 109, 292 Olver, F. W. J., 32, 92, 288 Oman, S. D., 107, 270 Ord, J. K., 275 Orey, S., 133, 293 Orwant, J., 51, 299 Ostland, M., 178, 277 Ott, J., 147, 293 Overton, M. L., 23, 23, 26, 28, 293 Owens, A. J., 101, 276 Pace, R. K., 224, 225, 227, 229, 233, 237, 269, 286, 293 Paik, H., 102, 103, 293 Panko, R. R., 22, 293 Panneton, F., 35, 286 Papadimitrious, C., 31, 293 Park, S. K., 33, 132, 138, 293 Parker, D. S., 77, 84, 185, 293 Patil, G. P., 275 Payne, W. H., 35, 287

PROGRAM 5: PERMUTATION GENETIC ALGORITHM % % % Genetic Algorithm for permuation problems minimizes the objective function designated in ff

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