Cases, context, and comfort: opportunities for case-based reasoning

Authors
Leake, David; Maguitman, Ana Gabriela; Reichherzer, Thomas
Publication Year
2006
Language
English
Format
article
Status
Published version
Description
Artificial intelligence (AI) methods have the potential for broad impact in smart homes. Different AI methods offer different contributions for this domain, with different design goals, tasks, and circumstances dictating where each type of method best applies. In this chapter, we describe motivations and opportunities for applying case-based reasoning (CBR) to a human-centered approach to the capture, sharing, and revision of knowledge for smart homes. Starting from the CBR cognitive model of reasoning and learning, we illustrate how CBR could provide useful capabilities for problem detection and response, provide a basis for personalization and learning, and provide a paradigm for home-human communication to cooperatively guide performance improvement. After sketching how these capabilities could be served by case-based reasoning, we discuss some design issues for applying CBR within smart homes and case-based reasoning research challenges for realizing the vision.
Fil: Leake, David. Indiana University; Estados Unidos
Fil: Maguitman, Ana Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ciencias e Ingenieria de la Computacion ; Argentina. Indiana University; Estados Unidos
Fil: Reichherzer, Thomas. Indiana University; Estados Unidos
Subject
SMART HOME
SMART HOME ENVIRONMENT
SMART HOME SYSTEM
SMART HOME TECHNOLOGY
CHOCOLATE CHIP
Control Automático y Robótica
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
INGENIERÍAS Y TECNOLOGÍAS
Access level
Restricted access
License
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repository
CONICET Digital (CONICET)
Institution
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identifier
oai:ri.conicet.gov.ar:11336/81991