Logical rules underlying a scientific method for gendered innovation.

In this paper the problem of how to introduce a gender dimension in the contents of the scientific production has been analyzed. In particular, starting from a formal reflection on the scientific method and from a critical analysis of logical rules underlying the method, we show how the falsifying argument, at the basis of the production of scientific innovation, can be the basis of a scientific theory that takes into account the gender. To produce new and advanced science, we have to change the starting theories and re-design the scientific questions. and men

Combining heterogeneous temporal information: a case study.

Cambridge University Pres

Applying a Fuzzy Temporal Constraint System to medical diagnoses

In this paper we present the application of a Fuzzy Temporal Constraint System we have developed to the case of Severe Acute Respiratory Syndrome (SARS). The idea is to schedule the temporal evolutions of symptoms which characterize this ill-known disease by modelling them in a Temporal Constraint Network and then to check their consistency w.r.t patients\u2019 data. In particular, we show how handling both fuzzy qualitative and metric constraints allows us to represent in a flexible way the symptoms in different patients thus making possible to deduce characteristic periods of an unknown disease such as SARS was. A new user interface is proposed for the system

About Tractability of Fuzzy Temporal Qualitative Algebra QAfuz

In this paper, we study the tractability of the Fuzzy Temporal Qualitative Algebra QAf uz . To this aim, we extend to the fuzzy framework the study presented in [7] where all tractable fragments of the Qualitative Algebra are identified. We don\u2019t directly extend classical proofs to our fuzzy framework, but we generalize the results obtained in the classical case exploiting the notion of \u3b1-cut in relating the QAfuz to its classical counterpart QA

Evolutionary techniques for mobile-robot office delivery service

In this paper we address the problem of delivery service accomplished by robots in an office environment. An evolutionary algorithm is used to develop a scheduling system that finds a path plan satisfying temporal constraints. The system is characterized by efficiency and adaptability. We present some results obtained in an experiment developed with a single robot in an office environment. Then we show how to extend the algorithm to control the delivery service performed by a two-robots team

Temporal features in biological warfare

No matter how prepared a population may be, bioterrorism cannot be prevented: the first clues will always be given by ill people. Temporal analysis applied to this type of scenarios could be an additional tool for limiting disruption among civilians allowing for recognizing typical temporal progression and duration of symptoms in first infected people. We propose the application of a fuzzy temporal reasoning system we have developed for biomedical temporal data analysis in different scenarios after a hypothetical attack. The system is able to handle both qualitative and metric temporal knowledge affected by vagueness and uncertainty, taking into account in this way the vagueness of patients reports expressed in natural language