EconPapers    
Economics at your fingertips  
 

The effect of algorithm capabilities on cooperative games

Mathijs van Zon, Remy Spliet and Wilco van den Heuvel

No EI2021-02, Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute

Abstract: Collaborations lead to cost reductions, both monetary and environmentally. However, it is not immediately clear how multiple companies with a shared optimisation problem should arrive at solutions to this shared problem or a fair allocation of the resulting cost or profit. In contrast to the literature, we assume each company, also referred to as a player, to have access to a potentially heuristic algorithm that is used to determine solutions to this shared optimisation problem. Together, the players can use these algorithms to determine solutions to shared problem instances. We call a cooperative game in which player algorithms are explicitly taken into account an algorithm quality induced game (AQI game). In an AQI game, the cost that is allocated to a player also depends on their algorithmic capabilities, that is, the quality of their algorithms. Moreover, it also allows us to model consultants, i.e., players that do have a good algorithm for the shared optimisation problem, but do not contribute in any other manner to the shared operations. In an AQI game, such players can be allocated a profit. In this paper we describe the core of AQI games and analyse the effects of improving the algorithm of a single player and of adding a consultant to a collaboration. Moreover, we present numerical results for 580,800 instances of the AQI game. We quantify the effect of improving an algorithm on the allocated cost to this player. We show that a player in general is allocated less after improving their algorithm, while in some cases the allocated cost increases. Moreover, we find that in general players with a bad algorithm benefit most from the addition of a consultant while players with a good algorithm may not benefit at all.

Keywords: Collaborative transportation; Cooperative game theory; Vehicle Routing (search for similar items in EconPapers)
Pages: 42
Date: 2021-06-01
New Economics Papers: this item is included in nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://repub.eur.nl/pub/135596/EI2021-02.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ems:eureir:135596

Access Statistics for this paper

More papers in Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute Contact information at EDIRC.
Bibliographic data for series maintained by RePub ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-19
Handle: RePEc:ems:eureir:135596