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Enabling smart environments through scalable policy reasoning and Internet of Things
(Wiley, 2019-04)
In this paper, we discuss how to combine ontology-based policy reasoning mechanisms with in-use Internet of Things applications to customize and automate device behaviors. We discuss how the policy framework can be extended ...
SOBE: Source behavior estimation for subjective opinions In multiagent systems
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2016)
In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources
of these opinions may not always be competent and honest but more likely erroneous or even ...
Learning and reasoning in complex coalition information environments: a critical analysis
(IEEE, 2018-09-05)
In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate ...
Source behavior discovery for fusion of subjective opinions
(IEEE, 2016)
Information is at the center of decision making in many systems and use-cases. In cooperative or hostile environments, agents communicate their subjective opinions about various phenomenon. However, sources of these opinions ...
Policy conflict resolution in IoT via planning
(Advances in Artificial Intelligence, 2017)
With the explosion of connected devices to automate tasks, manually governing interactions among such devices—and associated services—has become an impossible task. This is because devices have their own obligations and ...
Tractable policy management framework for IoT
(SPIE, 2017)
Due to the advancement in the technology, hype of connected devices (hence forth referred to as IoT) in support of automating the functionality of many domains, be it intelligent manufacturing or smart homes, have become ...
Discovering frequent patterns to bootstrap trust
(Springer International Publishing, 2013)
When a new agent enters to an open multiagent system, bootstrapping its trust becomes a challenge because of the lack of any direct or reputational evidence. To get around this problem, existing approaches assume the same ...
Uncertainty-aware deep classifiers using generative models
(Association for the Advancement of Artificial Intelligence, 2020)
Deep neural networks are often ignorant about what they do not know and overconfident when they make uninformed predictions. Some recent approaches quantify classification uncertainty directly by training the model to ...
Combining semantic web and IoT to reason with health and safety policies
(IEEE, 2018-01-12)
Monitoring and following health and safety regulations are especially important - but made difficult - in hazardous work environments such as underground mines to prevent work place accidents and illnesses. Even though ...
A knowledge driven policy framework for internet of things
(ScitePress, 2017)
With the proliferation of technology, connected and interconnected devices (henceforth referred to as IoT) are fast becoming a viable option to automate the day-to-day interactions of users with their environment—be it ...
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