Exploring sensor data management

The increasing availability of cheap, small, low-power sensor hardware and the ubiquity of wired and wireless networks has led to the prediction that `smart evironments' will emerge in the near future. The sensors in these environments collect detailed information about the situation people are in, which is used to enhance information-processing applications that are present on their mobile and `ambient' devices.\ud \ud Bridging the gap between sensor data and application information poses new requirements to data management. This report discusses what these requirements are and documents ongoing research that explores ways of thinking about data management suited to these new requirements: a more sophisticated control flow model, data models that incorporate time, and ways to deal with the uncertainty in sensor data

Streumer on Non-Cognitivism and Reductivism About Normative Judgement

Bart Streumer believes that the following principle is true of all normative judgements: When two people make conflicting normative judgements, at most one of them is correct. Streumer argues that noncognitivists are unable to explain why is true, or our acceptance of it. I argue that his arguments are inconclusive. I also argue that our acceptance of is limited in the case of instrumental and epistemic normative judgements, and that the extent to which we do accept for such judgements can be explained by an assumption of shared standards of correctness. Finally, I argue that reductivists can appeal to the same ideas to defend their view that instrumental and epistemic normative judgements describe non-normative relations

Meaning in Life and the Metaphysics of Value

According to subjectivist views about a meaningful life, one's life is meaningful in virtue of desire satisfaction or feelings of fulfilment. Standard counterexamples consist of satisfaction found through trivial or immoral tasks. In response to such examples, many philosophers require that the tasks one is devoted to are objectively valuable, or have objectively valuable consequences. I argue that the counterexamples to subjectivism do not require objective value for meaning in life. I also consider other reasons for thinking that meaning in life requires objective value and raise doubts about their strength. Finally, I argue that beauty is not plausibly objective, but that it seems important for meaning. This puts pressure on the objectivist to explain why objectivity matters in the case of other values

Expressivism and Arguing about Art

Peter Kivy claims that expressivists in aesthetics cannot explain why we argue about art. The situation would be different in the case of morals. Moral attitudes lead to action, and since actions affect people, we have a strong incentive to change people’s moral attitudes. This can explain why we argue about morals, even if moral language is expressive of our feelings. However, judgements about what is beautiful and elegant need not significantly affect our lives. So why be concerned with other people’s feelings about art? Kivy thinks the best explanation of our tendency to argue about art is that we implicitly believe in objective facts about aesthetics. This would count against expressivism. I argue two things: that there is no good reason to think that we don’t care about preferences and emotions unless they have significant practical consequences and that the truth of expressivism about aesthetic language is compatible with beliefs about objective aesthetic facts

Composability of Markov Models for Processing Sensor Data

We show that it is possible to apply the divide-and-conquer principle in constructing a Markov model for sensor data from available sensor logs. The state space can be partitioned into clusters, for which the required transition counts or probabilities can be acquired locally. The combination of these local parameters into a global model takes the form of a system of linear equations with a confined solution space. Expected advantages of this approach lie for example in reduced (wireless) communication costs

Exploiting sparsity and sharing in probabilistic sensor data models

Probabilistic sensor models defined as dynamic Bayesian networks can possess an inherent sparsity that is not reflected in the structure of the network. Classical inference algorithms like variable elimination and junction tree propagation cannot exploit this sparsity. Also, they do not exploit the opportunities for sharing calculations among different time slices of the model. We show that, using a relational representation, inference expressions for these sensor models can be rewritten to make efficient use of sparsity and sharing

Aesthetic Properties, Mind-Independence, and Companions in Guilt

I first show how one might argue for a mind-independent conception of beauty and artistic merit. I then discuss whether this makes aesthetic judgements suitable to undermine skeptical worries about the existence of mind-independent moral value and categorical reasons

Measuring the maritime potential of nations. The CenPRIS ocean index, phase one (ASEAN)

This paper describes the methods used to construct an index to measure the maritime potential of nations. This prototype uses a limited number of variables to measure (a) the locational advantage of having a long coastline in comparison to the landmass (Maritime Potential Index MPI) , (b) the maritime economy (MEI) and (c) the degree a nation or region has utilized its maritime potential (OI). A timeseries of data from 2000 to 2005 for ASEAN states are used to develop the prototype. It is planned to develop the index further by adding variables and extending the regional coverage to all states of Malaysia