Two Bargaining Automata
Linear and Nonlinear Models
Bibliographic Data
| ID | 10071609 |
|---|---|
| Authors | J Lynn England (Brigham Young University, corresponding author) |
| Year | 1979 |
| Volume | 23 |
| Issue | 2 |
| Pages | 296-325 |
| Publication date | 1979-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Conflict Resolution (JOURNAL) |
| Journal identifiers | ISSN: 0022-0027 • E-ISSN: 1552-8766 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/002200277902300204 |
| OpenAlex | W2126617681 |
| Language | EN |
| References cited | 18 |
The significance of bargaining in social interaction is widely recognized. The present article describes a pair of mathematical models of two-party bargaining. One model is a two-party version of the Bush-Mosteller linear operator learning model. The second model is a nonlinear operator learning model based on Duncan Luce's choice axiom. The adequacy of the two models is examined by means of a computer simulation of the models and a set of controlled experiments. The linear learning model describes accurately in all experimental groups. The nonlinear model is not as adequate in predicting trial by trial cooperation, but is equal to the linear model in describing agreement
Automaton · Axiom · Learning automata · Linear model · Machine learning · Mathematical economics · Mathematical optimization · Nonlinear system · Operator (biology · Set (abstract data type · Advanced Algebra and Logic · Artificial Intelligence · Computer Science · Experimental Behavioral Economics Studies · Game Theory and Voting Systems · Mathematics
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| Citation velocity | historical |
|---|---|
| Highly cited | No |