Safe Exchange Planner
نویسندگان
چکیده
Nondelivery is a major problem in exchanges, especially in electronic commerce: the supplier might not deliver the goods or the demander might not pay. Enforcement is often di cult if the exchange parties are software agents, anonymous, bound by di erent laws, or if litigation and escrow services are expensive. Recently, a game-theoretic self-enforcing method for carrying out exchanges was presented [7, 8]. The exchange is divided into chunks, and each exchange party delivers its next chunk only after the other party has completed the previous chunk. The chunking and chunk sequencing should be done so that at every point of the exchange, both parties gain more by completing the exchange than by vanishing. This paper operationalizes the theory by presenting a design of a safe exchange planner, which is o ered on the web. Exchanges di er based on whether there is one or multiple distinguishable items to exchange, whether there is one or multiple indistinguishable units of each item, whether the items are independent or not in terms of the supplier's cost and the demander's valuation, whether the units are dependent or independent in this sense, and whether the goods are countable or uncountable. For these di erent settings, we present chunking and chunk sequencing algorithms that provably nd safe exchanges that optimize di erent simplicity criteria. We also present interface designs that minimize the amount of information that the user has to input in each setting.
منابع مشابه
Planning with Incomplete Information
Planning is a natural domain of application for frameworks of reasoning about actions and change. In this paper we study how one such framework, the Language E , can form the basis for planning under (possibly) incomplete information. We define two types of plans: weak and safe plans, and propose a planner, called the E-Planner, which is often able to extend an initial weak plan into a safe pla...
متن کاملA Formally Verified Checker of the Safe Distance Traffic Rules for Autonomous Vehicles
One barrier in introducing autonomous vehicle technology is the liability issue when these vehicles are involved in an accident. To overcome this, autonomous vehicle manufacturers should ensure that their vehicles always comply with traffic rules. This paper focusses on the safe distance traffic rule from the Vienna Convention on Road Traffic. Ensuring autonomous vehicles to comply with this sa...
متن کاملA Generic Path Planning Strategy for Autonomous Vehicles
Path planning is a necessary and fundamental component of any autonomous vehicle. The goal is to obtain a path that allows the vehicle to fullll its mission objectives by ensuring an eecient and safe path. Numerous path planning algorithms exist, although each is speciic to the type of vehicle that the algorithm is used on. This paper presents a path planning algorithm that is generic in nature...
متن کاملStudy on Gold as a Hedge or Safe Haven for the Stock Market by a Markov Switching Approach
Although gold is no longer a central cornerstone of the international monetary and financial system, it still attracts considerable attention from researchers and investors. Nowadays, many investors manage their risk with valuable assets such as gold. This paper examines the dynamic relationships between gold and stock markets in the Tehran Stock Exchange. We have applied the Markov switching m...
متن کاملCollision Probability based Safe Path Planning for Mobile Robots in Changing Environments
Automatic path planning has many applications in robotics, computer-aided design(CAD) and industrial manipulation. The property of safety is vital but seldom taken into consideraion by typical path planning. In this paper, collision probability is introduced as an evaluation of crowd degree of environments to get a safer path. The smaller collision probability a node has, the more possibly the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2000