Using Heuristic Search to Retrieve Cases that Support Arguments
نویسندگان
چکیده
1 We discuss the use of heuristic search in a graph of cases and other domain knowledge to supply support for an argument. We contend that for legal argument, a gap exists between the vocabulary of constraints upon arguments and the indexing vocabulary for cases and other domain resource knowledge. We suggest best-first search of a graph of cases and other domain knowledge as a means to partially close this gap. In particular, search of the case-domain graph is driven by one of three evaluation functions that use different levels of abstraction to mediate between the indexing vocabulary and the task vocabulary. We describe the BankXX system, which uses heuristic search to retrieve cases and other domain knowledge in support of an argument.
منابع مشابه
OPTIMAL SHAPE DESIGN OF GRAVITY DAMS BASED ON A HYBRID META-HERURISTIC METHOD AND WEIGHTED LEAST SQUARES SUPPORT VECTOR MACHINE
A hybrid meta-heuristic optimization method is introduced to efficiently find the optimal shape of concrete gravity dams including dam-water-foundation rock interaction subjected to earthquake loading. The hybrid meta-heuristic optimization method is based on a hybrid of gravitational search algorithm (GSA) and particle swarm optimization (PSO), which is called GSA-PSO. The operation of GSA-PSO...
متن کاملGlobal Heuristic Search on Encrypted Data (GHSED)
Important document are being kept encrypted in remote servers. In order to retrieve these encrypted data, efficient search methods needed to enable the retrieval of the document without knowing the content of the documents In this paper a technique called a global heuristic search on encrypted data (GHSED) technique will be described for search in an encrypted files using public key encryption ...
متن کاملA Heuristic Algorithm for Nonlinear Lexicography Goal Programming with an Efficient Initial Solution
In this paper, a heuristic algorithm is proposed in order to solve a nonlinear lexicography goal programming (NLGP) by using an efficient initial point. Some numerical experiments showed that the search quality by the proposed heuristic in a multiple objectives problem depends on the initial point features, so in the proposed approach the initial point is retrieved by Data Envelopment Analysis...
متن کاملEnsemble Kernel Learning Model for Prediction of Time Series Based on the Support Vector Regression and Meta Heuristic Search
In this paper, a method for predicting time series is presented. Time series prediction is a process which predicted future system values based on information obtained from past and present data points. Time series prediction models are widely used in various fields of engineering, economics, etc. The main purpose of using different models for time series prediction is to make the forecast with...
متن کاملModeling the Time Windows Vehicle Routing Problem in Cross-Docking Strategy Using Two Meta-Heuristic Algorithms
In cross docking strategy, arrived products are immediately classified, sorted and organized with respect to their destination. Among all the problems related to this strategy, the vehicle routing problem (VRP) is very important and of special attention in modern technology. This paper addresses the particular type of VRP, called VRPCDTW, considering a time limitation for each customer/retai...
متن کامل