TY - GEN
T1 - Mixed strategies in combinatorial agency
T2 - 2nd International Workshop on Internet and Network Economics, WINE 2006
AU - Babaioff, Moshe
AU - Feldman, Michal
AU - Nisan, Noam
PY - 2006
Y1 - 2006
N2 - We study a setting where a principal needs to motivate a team of agents whose combination of hidden efforts stochastically determines an outcome. In a companion paper we devise and study a basic "combinatorial agency" model for this setting, where the principal is restricted to inducing a pure Nash equilibrium. Here, we show that the principal may possibly gain from inducing a mixed equilibrium, but this gain can be bounded for various families of technologies (in particular if a technology has symmetric combinatorial structure). In addition, we present a sufficient condition under which mixed strategies yield no gain to the principal.
AB - We study a setting where a principal needs to motivate a team of agents whose combination of hidden efforts stochastically determines an outcome. In a companion paper we devise and study a basic "combinatorial agency" model for this setting, where the principal is restricted to inducing a pure Nash equilibrium. Here, we show that the principal may possibly gain from inducing a mixed equilibrium, but this gain can be bounded for various families of technologies (in particular if a technology has symmetric combinatorial structure). In addition, we present a sufficient condition under which mixed strategies yield no gain to the principal.
UR - http://www.scopus.com/inward/record.url?scp=77049096072&partnerID=8YFLogxK
U2 - 10.1007/11944874_32
DO - 10.1007/11944874_32
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AN - SCOPUS:77049096072
SN - 3540681388
SN - 9783540681380
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 353
EP - 364
BT - Internet and Network Economics - Second International Workshop, WINE 2006, Proceedings
Y2 - 15 December 2006 through 17 December 2006
ER -