MavHome: An agent-based smart home
DJ Cook, M Youngblood, EO Heierman… - Proceedings of the …, 2003 - ieeexplore.ieee.org
The goal of the MavHome (Managing An Intelligent Versatile Home) project is to create a
home that acts as an intelligent agent. In this paper we introduce the MavHome architecture …
home that acts as an intelligent agent. In this paper we introduce the MavHome architecture …
The role of prediction algorithms in the MavHome smart home architecture
The goal of the MavHome project is to create a home that acts as a rational agent. The agent
seeks to maximize inhabitant comfort and minimize operation cost. To achieve these goals …
seeks to maximize inhabitant comfort and minimize operation cost. To achieve these goals …
Modeling interdependent and periodic real-world action sequences
Mobile health applications, including those that track activities such as exercise, sleep, and
diet, are becoming widely used. Accurately predicting human actions in the real world is …
diet, are becoming widely used. Accurately predicting human actions in the real world is …
Predicting inhabitant action using action and task models with application to smart homes
SP Rao, DJ Cook - International Journal on Artificial Intelligence …, 2004 - World Scientific
An intelligent home is likely in the near future. An important ingredient in an intelligent
environment such as a home is prediction–of the next low-level action, the next location, and …
environment such as a home is prediction–of the next low-level action, the next location, and …
[PDF][PDF] An empirical study of dynamic bayesian networks for user modeling
A Kuenzer, C Schlick, F Ohmann, L Schmidt… - Proc. of the UM'2001 …, 2001 - Citeseer
Six topologies of dynamic Bayesian Networks are evaluated for predicting the future user
events:(1) Markov Chain of order 1,(2) Hidden Markov Model,(3) autoregressive Hidden …
events:(1) Markov Chain of order 1,(2) Hidden Markov Model,(3) autoregressive Hidden …
[图书][B] Development of a novel context prediction algorithm and analysis of context prediction schemes
S Sigg - 2008 - books.google.com
Context-awareness is an area in which we strive to improve the environmentapplication
interaction by the consideration of environmental stimuli and with focus on the application's …
interaction by the consideration of environmental stimuli and with focus on the application's …
[PDF][PDF] Use of prediction algorithms in smart homes
A Dixit, A Naik - International Journal of Machine Learning and …, 2014 - ijml.org
'Smart Homes' or 'Intelligent Homes' are capable in making smart or rational decisions and
increase home automation. This is done to maximize inhabitant comfort and minimize …
increase home automation. This is done to maximize inhabitant comfort and minimize …
Mathematical modeling of decision making: a soft and fuzzy approach to capturing hard decisions
DW Dorsey, MD Coovert - Human Factors, 2003 - journals.sagepub.com
This research focuses on a modeling approach and set of mathematical tools that were
derived from research on intelligence systems, namely fuzzy system modeling. This study …
derived from research on intelligence systems, namely fuzzy system modeling. This study …
[PDF][PDF] Prediction Algorithms for User Actions.
M Hartmann, D Schreiber - LWA, 2007 - academia.edu
Abstract Proactive User Interfaces (PUIs) aim at facilitating the interaction with a user
interface, eg, by highlighting fields or adapting the interface. For that purpose, they need to …
interface, eg, by highlighting fields or adapting the interface. For that purpose, they need to …
Conversational recommenders with adaptive suggestions
We consider a conversational recommender system based on example-critiquing where
some recommendations are suggestions aimed at stimulating preference expression to …
some recommendations are suggestions aimed at stimulating preference expression to …