TY - GEN
T1 - A logical framework of bargaining with integrity constraints
AU - Jing, Xiaoxin
AU - Zhang, Dongmo
AU - Luo, Xudong
PY - 2013
Y1 - 2013
N2 - This paper proposes a logical framework for bargaining with integrity constraints (IC) in multi-agent and multi-issue bargaining environments. We construct a simultaneous concession solution for bargaining games under IC, and show that the solution is uniquely characterised by a set of logical properties. In addition, we prove that the solution also satisfies the most fundamental game theoretic properties such as symmetry and Pareto optimality. Finally, we discuss the relationship between merging operators and bargaining solutions under integrity constraints.
AB - This paper proposes a logical framework for bargaining with integrity constraints (IC) in multi-agent and multi-issue bargaining environments. We construct a simultaneous concession solution for bargaining games under IC, and show that the solution is uniquely characterised by a set of logical properties. In addition, we prove that the solution also satisfies the most fundamental game theoretic properties such as symmetry and Pareto optimality. Finally, we discuss the relationship between merging operators and bargaining solutions under integrity constraints.
UR - http://handle.uws.edu.au:8081/1959.7/542177
UR - http://ai2013.otago.ac.nz/
U2 - 10.1007/978-3-319-03680-9_1
DO - 10.1007/978-3-319-03680-9_1
M3 - Conference Paper
SN - 9783319036793
SP - 1
EP - 13
BT - AI 2013: Advances in Artificial Intelligence: 26th Australasian Joint Conference, Dunedin, New Zealand, December 1-6, 2013: Proceedings
PB - Springer
T2 - Australasian Joint Conference on Artificial Intelligence
Y2 - 1 December 2013
ER -