GESIA: Uncertainty-based Reasoning for a Generic Expert Systems Intelligent User Interface
نویسندگان
چکیده
Generic expert systems are reasoning systems that can be used in many application domains, thus requiring domain independence. The user interface for a generic expert system must contain an intelligence in order to maintain this domain independence and manage the complex interactions between the user and the expert system. This paper explores the uncertainty-based reasoning contained in an intelligent user interface called GESIA. GESIA’s interface architecture and dynamically constructed Bayesian network are examined in detail to show how uncertainty-based reasoning enhances the capabilities of this user interface.
منابع مشابه
User Models, Intelligent Interface Agents and Expert Systems
The proliferation of user modeling as a means of accurately capturing the beliefs, desires, and intent of users is apparent. We present a dynamic, uncertainty-based user model knowledge representation for use in an intelligent interface agent called GESIA. GESIA’s numerical uncertainty management representation, which has its roots in Bayesian networks, not only dynamically captures and models ...
متن کاملIntelligent Interface Learning with Uncertainty
This paper presents an intelligent user interface agent architecture based on Bayesian networks. Using a Bayesian network knowledge representation not only dynamically captures and models user behavior, but it also dynamically captures and models uncertainty in the interface’s reasoning process. Bayesian networks’ sound semantics and mathematical basis enhances it’s ability to make correct, int...
متن کاملActive User Interfaces for Building Decision-theoretic Systems
Knowledge elicitation/acquisition continues to be a bottleneck to constructing decisiontheoretic systems. Methodologies and techniques for incremental elicitation/acquisition of knowledge especially under uncertainty in support of users' current goals is desirable. This paper presents PESKI, a probabilistic expert system development environment. PESKI provides users with a highly interactive an...
متن کاملInterfacing the Expert : Characteristics and Requirements for the User Interface in Expert Systems
Because expert systems deal with a new set of problems presenting unique interface requirements, special issues requiring special attention are presented to user interface designers. The prime issues addressed in this paper are i) External Knowledge Representation: how knowledge is represented across the user interface, 2) Modes of User-System Interdependence: advisory, cooperative, and autonom...
متن کاملA Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children
Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced. The fuzzy expert system applies Mamdani reasoning model that has high interpretability to explain system results to e...
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 1996