Paper Info
Title
Modelling Human Behaviour Using Partial Order Planning Based on Atomic Action Templates
Abstract
A problem in assisting users in intelligent environments is the detection of their long term intentions based on the current state. One approach to solving this problem is the employment of human behaviour models, such as CTML and PDDL. At present, most of these models are based on concrete domains or scenarios which makes them difficult or impossible to adapt for other use cases. To overcome this drawback, this paper introduces an approach that uses partial order planning for generating a user behaviour model. Furthermore, it proposes a generalization of human activities by introducing atomic action templates valid for activities from various domains. To illustrate the approach, a scenario from the elderly care domain is modelled. Overall, the paper provides an effective general approach for modelling human behaviour which can be embedded in the intention inference workflow.
Year
DOI
Venue
2011
10.1109/IE.2011.27
Intelligent Environments
Keywords
Field
DocType
modelling human behaviour,user behaviour model,human activity,human behaviour model,effective general approach,partial order planning,intelligent environment,human behaviour,elderly care domain,concrete domain,atomic action,atomic action templates,current state,use case,sensors,pddl,bottom up,knowledge based systems,partial order,probabilistic logic,planning,computational modeling
Intelligent environment,Partial-order planning,Use case,Simulation,Inference,Computer science,Knowledge-based systems,Artificial intelligence,Probabilistic logic,Workflow,Machine learning,Planning Domain Definition Language
Conference
ISBN
Citations 
PageRank 
978-0-7695-4452-6
5
0.46
References 
Authors
7
1
Name
Order
Citations
PageRank
Kristina Yordanova17015.22