Abstract In recent years, many local authorities in the UK have run climate assemblies (LCAs) such as citizens’ or juries, with goal of developing citizen-led solutions to crisis. this essay, we argue that a ‘convenient fiction’ often underpins way authority actors explain rationale for running LCAs. This convenient fiction runs follows: LCAs are commissioned response threat, and decision-maker...

Students aged 12 to 15 at a Midwestern residential school for the deaf completed the Matson Evaluation of Social Skills for Deaf and Hard-of-Hearing Youngsters (MESSYDHH). Faculty at the school completed the Meadow Kendall Social Emotional Assessment Inventory (SEAI) to rate the behavior of the same students. Pearson’s correlations were conducted to determine if relationships existed between sc...

In this paper, evolutionary and dynamic programming based reinforcement learning techniques are combined to form an unsupervised learning scheme for designing autonomous optimal fuzzy logic control systems. A messy genetic algorithm, and an advantage learning scheme are first compared as reinforcement learning paradigms. The messy genetic algorithm enables flexible coding of a fuzzy structure f...

An automatic design method for fuzzy controllers with a hierarchical prioritized structure is proposed. A messy genetic algorithm is used to learn di erent types of behaviour which are represented by a hierarchical set of fuzzy rules. We demonstrate that messy genetic algorithms are well suited to the task of learning because they allow a exible representation of the hierarchical prioritized st...

In this paper the design of maximally flat linear phase finite impulse response (FIR) filters is considered. The problem is handled with totally two different approaches. The first one is completely deterministic numerical approach where the problem is formulated as a Linear Complementarity Problem (LCP). The other one is based on a combination of Markov Random Fields (MRF's) approach with mess...

Engineering and science disciplines make use of genetic algorithms. A number of genetic-based search paradigms have been developed and applied to different problems. A growing demand for algorithms to solve new problems and a never-ending process of designing algorithms strongly suggests the need for more efficient and more robust geneticbased optimisation techniques. Ideally these algorithms s...

In recent years it has become clear that understanding the absorption present in AGN is essential given its bearing on unification models. We present the most recent XMM-Newton observation of Mrk 6, with the goal of understanding the nature and origin of the complex absorption intrinsic to this source. X-ray spectral fitting shows that a simple warm absorption model provides an equally good sta...