Existing cognitive agent programming languages that are based on the BDI model employ logical representation and reasoning for implementing the beliefs of agents. In these programming languages, the beliefs are assumed to be certain, i.e. an implemented agent can believe a proposition or not. These programming languages fail to capture the underlying uncertainty of the agent’s beliefs which is ...

This paper proposes a scheme for activity recognition in sensor based smart homes using Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses are constructed from sensors and employed in a single-layered inference architecture. The belief masses are calculated using beta probability distribution function. The frames of opinion owners are derived automatically ...

Multiagent systems (MASs) have a wide range of industrial applications due to agents’ advantages. However, because the dynamic behaviors, it is challenge ensure quality service they present. In this paper, address problem, we propose an adaptive agent trust estimation model where agents may decide go from genuine malicious or other way around. proposed model, both direct and indirect reputation...

Energy efficiency is one of the most researchable topics energy constrained Wireless Sensor Networks (WSN). Due to widespread usage WSN in real-time applications, network lifetime serious concern and numerous research solutions are presented literature for handling this issue. Several techniques employed handle consumption promising clustering routing other than data compression. Hence, paper p...

1 Faculty of Electronics and Telecommunications, Multimedia Dept. Bd. V. Parvan 2, 300223 Timisoara, Romania, e-mail: [email protected], [email protected] 2 Mathematics, Image and Applications Laboratory, University of La Rochelle Avenue Michel Crepeau 17042 La Rochelle, France, e-mail: [email protected], [email protected] Abstract – Detection of moving objects has been widel...

We discuss the Dempster-Shafer theory of evidence. We introduce a concept of monotonicity which is related to the diminution of the range between belief and plausibility. We show that the accumulation of knowledge in this framework exhibits a nonmonotonic property. We show how the belief structure can be used to represent typical or commonsense knowledge.