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A hybrid reasoning mechanism for effective sensor selection for tasks
(Elsevier, 2013-02)
In this paper, we present Ontological Logic Programming (OLP), a novel approach that combines logic programming with ontological reasoning. OLP enables the use of ontological terms (i.e., individuals, classes and properties) ...
FUSE-BEE: Fusion of subjective opinions through behavior estimation
(IEEE, 2015)
Information is critical in almost all decision making processes. Therefore, it is important to get the right information at the right time from the right sources. However, information sources may behave differently while ...
Agilely assigning sensing assets to mission tasks in a coalition context
(IEEE, 2013)
When managing intelligence, surveillance, and reconnaissance (ISR) operations in a coalition context, assigning available sensing assets to mission tasks can be challenging. The authors' approach to ISR asset assignment ...
Reasoning under uncertainty: variations of subjective logic deduction
(IEEE, 2013)
This work develops alternatives to the classical subjective logic deduction operator. Given antecedent and consequent propositions, the new operators form opinions of the consequent that match the variance of the consequent ...
TRIBE: Trust revision for information based on evidence
(IEEE, 2013)
In recent years, the number of information sources available to support decision-making has increased dramatically. However, more information sources do not always mean higher precision in the fused information. This is ...
Trust estimation and fusion of uncertain information by exploiting consistency
(IEEE, 2014)
Agents may cooperate by communicating their opinions about various phenomena. These opinions are then fused by agents and used for informed decision-making. However, fusing opinions from diverse sources is not trivial - ...
Interest-based negotiation for policy-regulated asset sharing
(Springer Nature, 2016)
Resources sharing is an important but complex problem to be solved. The problem is exacerbated in a coalition context due to policy constraints, that reflect concerns regarding security, privacy and performance to name a ...
Semantic reasoning with uncertain information from unreliable sources
(Springer International Publishing, 2016)
Intelligent software agents may significantly benefit from semantic reasoning. However, existing semantic reasoners are based on Description Logics, which cannot handle vague, incomplete, and unreliable knowledge. In this ...
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 ...
Partial observable update for subjective logic and its application for trust estimation
(Elsevier, 2015)
Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations with
uncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the ...
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