A Complexity Approach for Core-Selecting Exchange under Conditionally Lexicographic Preferences
Author(s) -
Etsushi Fujita,
Julien Lesca,
Akihisa Sonoda,
Taiki Todo,
Makoto Yokoo
Publication year - 2018
Publication title -
journal of artificial intelligence research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.79
H-Index - 123
eISSN - 1943-5037
pISSN - 1076-9757
DOI - 10.1613/jair.1.11254
Subject(s) - lexicographical order , core (optical fiber) , computer science , selection (genetic algorithm) , payment , incentive , property (philosophy) , mathematical economics , incentive compatibility , microeconomics , perspective (graphical) , economics , econometrics , mathematics , artificial intelligence , telecommunications , philosophy , epistemology , combinatorics , world wide web
Core-selection is a crucial property of rules in the literature of resource allocation. It is also desirable, from the perspective of mechanism design, to address the incentive of agents to cheat by misreporting their preferences. This paper investigates the exchange problem where (i) each agent is initially endowed with (possibly multiple) indivisible goods, (ii) agentsu0027 preferences are assumed to be conditionally lexicographic, and (iii) side payments are prohibited. We propose an exchange rule called augmented top-trading-cycles (ATTC), based on the original TTC procedure. We first show that ATTC is core-selecting and runs in polynomial time with respect to the number of goods. We then show that finding a beneficial misreport under ATTC is NP-hard. We finally clarify relationship of misreporting with splitting and hiding, two different types of manipulations, under ATTC.
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