{"title":"Imprecise probability and expert forecasting","authors":"C. Wagner","doi":"10.1109/TAI.1994.346430","DOIUrl":"https://doi.org/10.1109/TAI.1994.346430","url":null,"abstract":"Evidence is often insufficient to support the assessment of precise probabilities. Shifting to vaguer measures of uncertainty, such as upper and lower probabilities, does not deprive one of the key analytical tools of classical probability. Two approaches to the calculation of upper and lower expected values are described and contrasted in the case of forecasting production costs of an electric utility. Conditionalization of imprecise probabilities is also discussed.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121413075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge acquisition from real-world texts: some lessons learned","authors":"F. Gomez","doi":"10.1109/TAI.1994.346490","DOIUrl":"https://doi.org/10.1109/TAI.1994.346490","url":null,"abstract":"In recent years, natural language processing (NLP) has experienced a dramatic research shift by focusing on the processing of real-world texts, rather than on restricted domains. This shift of focus has been an acid test for the core components of NLP, namely parsing and semantic interpretation. For the last few years, we have been working on knowledge acquisition from texts (F. Gomez, 1985; F. Gomez and C. Segani, 1989). The research started as a set of theoretical ideas and, then, gradually we built a system that embodies the theory. The system could be at first called a \"toy system\", that works in restricted domains. Recently, we have extended every component of the system to handle \"real-world\" texts. The model has been implemented in a program that reads unedited texts from The World Book Encyclopedia (1994), and acquires new concepts and conceptual relations about topics dealing with the dietary habits of animals, their classifications and habitats. The program is also able to answer an ample set of questions about the database that it has automatically acquired. Some of the major lessons that derive from the research are presented.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114368876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discrete event simulation using event calculus","authors":"Lode Missiaen","doi":"10.1109/TAI.1994.346449","DOIUrl":"https://doi.org/10.1109/TAI.1994.346449","url":null,"abstract":"This paper presents the theory and implementation of a logic based discrete event simulation system. The representation language of the simulation is Horn clause logic. The simulation's theory of time is based on event calculus. The scheduling algorithm generates event notices for all activities that can be performed. This logic approach to discrete event simulation facilitates model validation and maintenance. For a given event schedule, analysis can be done by deriving the properties that hold true of the world at any time in the situation history. This novel approach to simulation enables classical simulation to be extended with explanation generation, decision support, planning, inductive learning and simulation of intelligent agents.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127559526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An experience-based approach to software project management","authors":"C. Vasudevan","doi":"10.1109/TAI.1994.346435","DOIUrl":"https://doi.org/10.1109/TAI.1994.346435","url":null,"abstract":"The paper describes an experience-based model for software project management. In this approach, the focus is on concrete cases or episodes, rather than on basic principles. Past problem solving experience is recorded as a collection of solution instances indexed using a set of labels. When a new problem is presented, the case-based reasoner searches its case repository and retrieves an old record that closely matches the current context. In the proposed scheme, we employ fuzzy sets to represent case indices and fuzzy aggregation functions to evaluate cases. This provides a formal scheme to quantify the partial matches of a given problem with multiple cases in the database and to utilize these partial matches to compute an aggregated result. Cost estimation and risk assessment functions of software project management are covered here. The paper discusses the basic principles of case-based reasoning and provides a functional description of the proposed system with details of case representation and case evaluation strategies.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121858983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Anderson, A. Carlson, D. Westbrook, D. M. Hart, P. Cohen
{"title":"Tools for experiments in planning","authors":"S. Anderson, A. Carlson, D. Westbrook, D. M. Hart, P. Cohen","doi":"10.1109/TAI.1994.346436","DOIUrl":"https://doi.org/10.1109/TAI.1994.346436","url":null,"abstract":"The paper describes two separate but synergistic tools for running experiments on large Lisp systems such as artificial intelligence planning systems, by which we mean systems that produce plans and execute them in some kind of simulator. The first tool, called CLIP (Common Lisp Instrumentation Package), allows the researcher to define and run experiments, including experimental conditions (parameter values of the planner or simulator) and data to be collected. The data are written out to data files that can be analyzed by statistics software. The second tool, called CLASP (Common Lisp Analytical Statistics Package), allows the researcher to analyze data from experiments by using graphics, statistical tests, and various kinds of data manipulation. CLASP has a graphical user interface (using CLIM, the Common Lisp Manager) and also allows data to be directly processed by Lisp functions.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127994280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leuo-hong Wang, Cheng-Yan Kao, M. Ouhyoung, Wen-Chin Chen
{"title":"Using an annealing genetic algorithm to solve global energy minimization problem in molecular binding","authors":"Leuo-hong Wang, Cheng-Yan Kao, M. Ouhyoung, Wen-Chin Chen","doi":"10.1109/TAI.1994.346464","DOIUrl":"https://doi.org/10.1109/TAI.1994.346464","url":null,"abstract":"Molecular binding, important in drug design, explores the accurate binding structures between molecules. This exploration can be formulated as a global optimization problem. However, the problem in molecular binding is that the search space is very large and the computational cost increases tremendously with the growth of the degrees of freedom. In this paper, we utilize a new algorithm called the annealing genetic algorithm to solve the global optimization problem in molecular binding. Using a protein with three anti-cancer drugs in our model, our algorithm can find a binding structure with a complicated energy computation within a couple of hours and the experimental results indicate that the solutions are reasonable.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115537853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A framework for fault diagnosis in distributed expert systems","authors":"J. Guan, Z. Guan, D. Bell","doi":"10.1109/TAI.1994.346432","DOIUrl":"https://doi.org/10.1109/TAI.1994.346432","url":null,"abstract":"This paper presents a framework for fault diagnosis in distributed expert systems. We investigate computational methods for evidential reasoning in expert systems based on the Guan-Bell approach. Matrices and their products are used to express the reasoning algorithms. This makes the algorithms simpler and perhaps more efficient to implement. To make the description of our method clear, we trace through the analysis of the simplified problem of an example in the context of fault diagnosis in a distributed vehicle monitoring system.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115593936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fuzzy qualitative diagnosis","authors":"S. Patil, M. Hofmann","doi":"10.1109/TAI.1994.346402","DOIUrl":"https://doi.org/10.1109/TAI.1994.346402","url":null,"abstract":"Purely qualitative reasoning methods suffer from two problems. Measured data values must be classified into exactly one qualitative value and qualitative relations between variables represent only direction but not strength of influence. We have previously developed a constraint-based diagnostic system which searches for the \"best\" assignment of qualitative labels to all variables using heuristic search. Key elements of the reasoning procedure are 1) deriving unknown variable values by qualitative constraint processing, 2) enumerating possible component behaviors, 3) mapping behaviors into behavior modes (some of which imply faults), and 4) focusing search on promising alternatives. In this paper we describe how a fuzzy set-based representation of variable values combined with fuzzy constraint processing admits fuzzy classification of measurements and improves accuracy and focus of the diagnostic process.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115808068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Object reconstruction using the cooperation of 3D segments and 3D facets information","authors":"Didier Gemmerlé","doi":"10.1109/TAI.1994.346403","DOIUrl":"https://doi.org/10.1109/TAI.1994.346403","url":null,"abstract":"Given a series of trinocular images of an object, we have developed a method for building 3D Facets and 3D segments model of the object. From each triplet, a partial description of the object, called 3D View, is extracted. From the set of all extracted 3D Facets, a strategy for guiding the object reconstruction, based on a statistical method is developed. A 3D Matching Builder computes matchings between the 3D Primitives of consecutive 3D Views. Guided by the strategy, a Superstructure gathers all the matching informations given by the 3D Matching Builder in a set of equivalence classes. For each equivalence class of Superstructure, a representative is derived. The 3D Primitives model is finally computed merging informations of 3D Facet representatives and 3D Segment representatives. This method implemented in Smalltalk80, has been applied on a series of stereoscopic real images triplets; some results are provided at the end of the paper.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115835589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge acquisition techniques for a military planning system","authors":"Marie desJardins","doi":"10.1109/TAI.1994.346457","DOIUrl":"https://doi.org/10.1109/TAI.1994.346457","url":null,"abstract":"In order to build realistic AI planning systems, it is necessary to develop sophisticated tools for knowledge acquisition. This paper describes two knowledge acquisition tools for a crisis action planning system. The first is a graphical operator editor that enables users to develop new planning operators and revise existing operators. The second is an inductive learning system, based on the PAGODA learning model, that learns from simulator feedback and from choices made by the user during planning. This paper describes the work done so far, and proposed for the future, on these tools.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125789583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}