A higher-order agent model with contextual planning management for ambient systems
This paper presents a concrete software architecture dedicated to ambient intelligence (AmI)
features and requirements. The proposed behavioral model, called Higher-order Agent …
features and requirements. The proposed behavioral model, called Higher-order Agent …
Mixing [Markov chain]
D Randall - 44th Annual IEEE Symposium on Foundations of …, 2003 - ieeexplore.ieee.org
In this paper, we introduce the notion of a Markov chain and explore how it can be used to
sample from a large set of configurations. Our primary focus is determining how quickly a …
sample from a large set of configurations. Our primary focus is determining how quickly a …
Learning from situated experiences for a contextual planning guidance
This paper presents AgLOTOS as an algebraic language dedicated to the specification of
agent plans in ambient systems. AgLOTOS offers two levels of plans: elementary plans …
agent plans in ambient systems. AgLOTOS offers two levels of plans: elementary plans …
Dealing with temporal failure in ambient systems: a dynamic revision of plans
R Boukharrou, AC Chaouche… - Journal of Ambient …, 2015 - Springer
This paper presents AgLOTOS as an algebraic language dedicated to the specification of
agent plans in ambient systems taking into account timing constraints. It offers a rich and …
agent plans in ambient systems taking into account timing constraints. It offers a rich and …
Self-adaptation of a learnt behaviour by detecting and by managing user's implicit contradictions
This paper tackles the issue of ambient systems adaptation to users' needs while the
environment and users' preferences evolve continuously. We propose the adaptive multi …
environment and users' preferences evolve continuously. We propose the adaptive multi …
An MARL-based distributed learning scheme for capturing user preferences in a smart environment
Providing a personalized service to a user in a smart environment has been one of the key
goals in the area of pervasive computing. The proliferation of individually developed smart …
goals in the area of pervasive computing. The proliferation of individually developed smart …
A task-oriented service personalization scheme for smart environments using reinforcement learning
B Tegelund, H Son, D Lee - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Users want IoT environments to provide them with personalized support. These
environments therefore need to be able to learn user preferences, such as what temperature …
environments therefore need to be able to learn user preferences, such as what temperature …
Extreme Sensitive Robotic-A Context-Aware Ubiquitous Learning
N Verstaevel, C Régis, V Guivarch… - … Conference on Agents …, 2015 - scitepress.org
Our work focuses on Extreme Sensitive Robotic that is on multi-robot applications that are in
strong interaction with humans and their integration in a highly connected world. Because …
strong interaction with humans and their integration in a highly connected world. Because …
Distributed multi-agent preference learning for an IoT-enriched smart space
There have been several efforts on preference learning in a smart space by means of multi-
agent collaborations. Each agent captures a user action or handles part of learning but …
agent collaborations. Each agent captures a user action or handles part of learning but …
From intentions to plans: A contextual planning guidance
The proposal AgLOTOS algebraic language is dedicated to the specification of agent plans
in ambient systems (AmI). From its two level specification, plans can be built automatically as …
in ambient systems (AmI). From its two level specification, plans can be built automatically as …