The Power of Information for Intermediate States in Contract Design

2026-04-16

AI Summary

This study addresses a key limitation in traditional principal–agent models, which neglect intermediate state information during task execution and thus fail to leverage process data for optimal incentive design. The work proposes two novel contractual mechanisms—“pay-halfway” and “terminate-halfway”—that explicitly incorporate interim performance signals into contract structure. Drawing on game-theoretic and information-economic analysis, the paper demonstrates how intermediate information enhances incentive compatibility and overall contract efficiency. It further establishes that the proposed mechanisms strictly outperform conventional contracts across a range of settings, while precisely characterizing the boundary conditions and operational domains under which these performance gains are realized.

Technology Category

• Multiagent Systems: Mechanism Design
• Game Theory and Economic Paradigms: Mechanism Design
• Cognitive Modeling & Cognitive Systems: Agent Architectures

Application Category

• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

In the conventional principal-agent problem, a principal delegates a task to an agent and formulates a contract to incentivize the agent's actions on behalf of the principal. However, this framework overlooks the information that is possibly available during the delegation process in some scenarios. To address this limitation, we propose a novel model that incorporates multiple intermediate states to capture such information revealed during the delegation. Furthermore, to evaluate the impact of the information embedded in these intermediate states, we introduce two distinct contracts: the pay-halfway contract, which provides payments based not only on final outcomes but also on intermediate states, and the terminate-halfway contract, which allows the principal to terminate the delegation process upon encountering undesirable intermediate states. This leads to the question of whether and how these contract types can leverage intermediate-state information? In particular, we ask: Can these contract types outperform standard contracts, and if so, when and to what extent? We answer the first question affirmatively and provide several important insights regarding the second, shedding light on the circumstances in which intermediate-state-aware contracts yield substantial advantages.

Problem

• principal-agent problem
• intermediate states
• contract design
• information revelation
• incentive contracts

Innovation

• intermediate states
• contract design
• principal-agent problem
• dynamic information
• pay-halfway contract