Context-dependent Combination of Sensor Information in Dempster-Shafer Theory for BDI

There has been much interest in the belief–desire–intention (BDI) agent-based model for developing scalable intelligent systems, e.g. using the AgentSpeak framework. However, reasoning from sensor information in these large-scale systems remains a significant challenge. For example, agents may be faced with information from heterogeneous sources which is uncertain and incomplete, while the sources themselves may be unreliable or conflicting. In order to derive meaningful conclusions, it is important that such information be correctly modelled and combined. In this paper, we choose to model uncertain sensor information in Dempster–Shafer (DS) theory. Unfortunately, as in other uncertainty theories, simple combination strategies in DS theory are often too restrictive (losing valuable information) or too permissive (resulting in ignorance). For this reason, we investigate how a context-dependent strategy originally defined for possibility theory can be adapted to DS theory. In particular, we use the notion of largely partially maximal consistent subsets (LPMCSes) to characterise the context for when to use Dempster’s original rule of combination and for when to resort to an alternative. To guide this process, we identify existing measures of similarity and conflict for finding LPMCSes along with quality of information heuristics to ensure that LPMCSes are formed around high-quality information. We then propose an intelligent sensor model for integrating this information into the AgentSpeak framework which is responsible for applying evidence propagation to construct compatible information, for performing context-dependent combination and for deriving beliefs for revising an agent’s belief base. Finally, we present a power grid scenario inspired by a real-world case study to demonstrate our work.

The role of knowledge in the contraceptive behaviour of sexually active young people in state care

Aim: To analyse the role of sex-focused knowledge in the contraceptive behaviour of sexually active young people in state care.

Methods: The sample consisted of 19 care leavers (young people previously in state care) aged 18-22 years, 16 females and 3 males. In-depth interviewing was the method of data collection, and a qualitative strategy resembling modified analytical induction was used to analyse data.

Findings: Findings indicated that a lack of information was not the sole, or even the primary reason for engaging in unsafe sexual practices. Other factors such as ambivalence to becoming pregnant also featured in participants’ accounts. Several participants conveyed a relatively weak sense of agency about consistently using contraception. A small number of participants expressed a strong determination to avoid pregnancy, and these appeared to have a level of anxiety about becoming pregnant that motivated them to engage with knowledge about contraception and its use.

Conclusion: Lack of sex-focused information is just one aspect of a myriad of complex factors, including socioeconomic disadvantage and/or emotional deprivation, that influences contraceptive behaviour.