A Framework of Fuzzy Diagnosis

Fault diagnosis has become an important component in intelligent systems, such as intelligent control systems and intelligent eLearning systems. Reiter's diagnosis theory, described by first-order sentences, has been attracting much attention in this field. However, descriptions and observations of most real-world situations are related to fuzziness because of the incompleteness and the uncertainty of knowledge, e. g., the fault diagnosis of student behaviors in the eLearning processes. In this paper, an extension of Reiter's consistency-based diagnosis methodology, Fuzzy Diagnosis, has been proposed, which is able to deal with incomplete or fuzzy knowledge. A number of important properties of the Fuzzy diagnoses schemes have also been established. The computing of fuzzy diagnoses is mapped to solving a system of inequalities. Some special cases, abstracted from real-world situations, have been discussed. In particular, the fuzzy diagnosis problem, in which fuzzy observations are represented by clause-style fuzzy theories, has been presented and its solving method has also been given. A student fault diagnostic problem abstracted from a simplified real-world eLearning case is described to demonstrate the application of our diagnostic framework.

A neuro-mechanical model for interpersonal coordination

The present study investigates the coordination between two people oscillating handheld pendulums, with a special emphasis on the influence of the mechanical properties of the effector systems involved. The first part of the study is an experiment in which eight pairs of participants are asked to coordinate the oscillation of their pendulum with the other participant's in an in-phase or antiphase fashion. Two types of pendulums, A and B, having different resonance frequencies (Freq A=0.98 Hz and Freq B=0.64 Hz), were used in different experimental combinations. Results confirm that the preferred frequencies produced by participants while manipulating each pendulum individually were close to the resonance frequencies of the pendulums. In their attempt to synchronize with one another, participants met at common frequencies that were influenced by the mechanical properties of the two pendulums involved. In agreement with previous studies, both the variability of the behavior and the shift in the intended relative phase were found to depend on the task-effector asymmetry, i.e., the difference between the mechanical properties of the effector systems involved. In the second part of the study, we propose a model to account for these results. The model consists of two cross-coupled neuro-mechanical units, each composed of a neural oscillator driving a wrist-pendulum system. Taken individually, each unit reproduced the natural tendency of the participants to freely oscillate a pendulum close to its resonance frequency. When cross-coupled through the vision of the pendulum of the other unit, the two units entrain each other and meet at a common frequency influenced by the mechanical properties of the two pendulums involved. The ability of the proposed model to address the other effects observed as a function of the different conditions of the pendulum and intended mode of coordination is discussed.

Opioids and NMDA receptors: Neuro-excitation and abnormal pain behaviours

In the clinical setting, chronic administration of high doses of systemic morphine may result in neuro-excitatory behaviours such as myoclonus and allodynia in some patients. Additionally, high doses of m-opioid agonists such as morphine administered chronically by the intrathecal route in both rats and humans, as well as DAMGO in rats, have been reported to produce neuro-excitatory behaviours. However, more recently, it has begun to be appreciated that even at normal analgesic doses, opioids such as morphine are capable not only of activating pain inhibitory systems (analgesia/antinociception), but they also activate pain facilitatory systems such that post-opioid allodynia/hyperalgesia may be evident after cessation of opioid treatment. Whilst it is well documented that opioid receptors mediate the inhibitory effects of opioid analgesics, the excitatory and pro-nociceptive effects of opioids appear to involve indirect activation of N-methyl-D-aspartate (NMDA) receptors, such that the extent of pain relief produced may be the net effect of these two opposing actions. Apart from the NMDA-nitric oxide (NO) pro-nociceptive signaling cascade, considerable evidence also implicates dynorphin A as well as the endogenous anti-opioid peptides cholecystokinin (CCK), neuropeptide FF (NPFF) and orphanin FQ/nociceptin, in mediating opioid-induced neuro-excitation and abnormal pain behaviours. Apart from the neuro-excitatory effects that may be produced by the parent opioid, systemic administration of some opioid analgesics such as morphine and hydromorphone in rats and humans results in their rapid conversion to 3-glucuronide metabolites that also contribute significantly to the neuro-excitatory and abnormal pain behaviours produced

Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conference

These are the full proceedings of the conference.