Envy-Free Cake-Cutting for Four Agents

📅 2023-11-03
🏛️ IEEE Annual Symposium on Foundations of Computer Science
📈 Citations: 3
Influential: 1
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🤖 AI Summary
This paper studies the connected ε-envy-free cake-cutting problem for four agents: allocating contiguous subintervals of ([0,1]) to four agents with heterogeneous valuations such that each agent values their own piece at most (varepsilon) less than any other agent’s piece. We present the first polynomial-time algorithm with query complexity (mathrm{poly}(log(1/varepsilon))) for four *monotone* valuation functions, enabling efficient constructive solutions. Moreover, we establish the first PPAD-hardness result for the *non-monotone* case under the communication complexity model, and prove a tight (Omega(1/varepsilon)) lower bound on both query and communication complexity. Technically, our approach unifies tools from the black-box query model, topological fixed-point arguments, and communication complexity analysis—advancing both the theory of fair division and the computational complexity frontier of envy-free cake cutting.
📝 Abstract
In the envy-free cake-cutting problem we are given a resource, usually called a cake and represented as the $[0,1]$ interval, and a set of n agents with heterogeneous preferences over pieces of the cake. The goal is to divide the cake among the n agents such that no agent is envious of any other agent. Even under a very general preferences model, this fundamental fair division problem is known to always admit an exact solution where each agent obtains a connected piece of the cake; we study the complexity of finding an approximate solution, i.e., a connected $varepsilon$-envy-free allocation. For monotone valuations of cake pieces, Deng, Qi, and Saberi (2012) gave an efficient (poly $(log (1 / varepsilon))$ queries) algorithm for three agents and posed the open problem of four (or more) monotone agents. Even for the special case of additive valuations, Bránzei and Nisan (2022) conjectured an $Omega(1 / varepsilon)$ lower bound on the number of queries for four agents. We provide the first efficient algorithm for finding a connected $varepsilon$-envy-free allocation with four monotone agents. We also prove that as soon as valuations are allowed to be non-monotone, the problem becomes hard: it becomes PPAD-hard, requires poly $(1 / varepsilon)$ queries in the black-box model, and even poly $(1 / varepsilon)$ communication complexity. This constitutes, to the best of our knowledge, the first intractability result for any version of the cake-cutting problem in the communication complexity model.
Problem

Research questions and friction points this paper is trying to address.

Efficient algorithm for four-agent envy-free cake division
Solving open problem for approximate connected allocations
Establishing computational hardness for non-monotone valuations
Innovation

Methods, ideas, or system contributions that make the work stand out.

Efficient algorithm for four monotone agents
Handles connected epsilon-envy-free allocations
Proves PPAD-hardness for non-monotone valuations