Fuzzy Truth Maintenance System for Non-Monotonic Reasoning

2021 ◽  
Author(s):  
Poli Venkata Subba Reddy
Keyword(s):  
Maintenance System ◽  
Truth Maintenance

Data Base Requirements for Concurrent Design Systems

1991 ◽  
Author(s):  
Ranko Vujosevic ◽  
Andrew Kusiak
Keyword(s):  
Data Base ◽  
Data Model ◽  
Object Oriented ◽  
Concurrent Design ◽  
Complex Objects ◽  
Maintenance System ◽  
Design And Manufacturing ◽  
Design Systems ◽  
Truth Maintenance ◽  
Definition Of

Abstract The data base requirements for concurrent design systems are discussed. An object-oriented data base, which allows for definition of complex objects, specification of relationships between objects, and modular expandability without affecting the existing information is defined. The data base is developed based on the object-oriented data model implemented in Smalltalk-80. An assumption-based truth maintenance system for maintaining the dependency relationships between design and manufacturing information is described.

Conformational analysis using a truth maintenance system

1988 ◽  
Vol 6 (2) ◽  
pp. 74-79 ◽  
Author(s):  
Timothy Koschmann ◽  
James P. Snyder ◽  
Peter Johnson ◽  
Thom Grace ◽  
Martha W. Evens
Keyword(s):  
Conformational Analysis ◽  
Maintenance System ◽  
Truth Maintenance

Multiagent Truth Maintenance Applied to a Tourism Recommender System

2010 ◽  
pp. 54-72
Author(s):  
Fabiana Lorenzi ◽  
Ana L.C. Bazzan ◽  
Mara Abel
Keyword(s):  
Recommender System ◽  
Expert Knowledge ◽  
Knowledge Bases ◽  
System Component ◽  
Travel Agents ◽  
Maintenance System ◽  
Truth Maintenance

This chapter presents a multiagent recommender system applied to the tourism domain. The multiagent approach is able to deal with distributed expert knowledge to support travel agents in recommending tourism packages. Agents work as experts cooperating and communicating with each other, exchanging information to make the best recommendation possible considering the travelers’ preferences. Each agent has a truth maintenance system component that helps the agents to assume information during the recommendation process as well as to keep the integrity of their knowledge bases. The authors have validated the system via simulations where agents collaborate to recommend travel packages to the user and specialize in some of the tasks available. The experiments show that specialization is useful for the efficacy of the system.

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