About: Pict (programming language) is a research topic. Over the lifetime, 85 publications have been published within this topic receiving 1870 citations.
TL;DR: Pict is a strongly-typed concurrent programming language constructed in terms of an explicitly-typing -calculus core language, yielding strong, static typing for a high-level language using the -Calculus as its core.
Abstract: The -calculus o ers an attractive basis for concurrent programming. It is small, elegant, and well studied, and supports (via simple encodings) a wide range of high-level constructs including data structures, higher-order functional programming, concurrent control structures, and objects. Moreover, familiar type systems for the -calculus have direct counterparts in the -calculus, yielding strong, static typing for a high-level language using the -calculus as its core. This paper describes Pict, a strongly-typed concurrent programming language constructed in terms of an explicitly-typed -calculus core language. Dedicated to Robin Milner on the occasion of his 60th birthday.
TL;DR: A simple object-based programming style is introduced and three techniques for controlling concurrency between methods in this setting are compared: explicit locking, a standard choice operator, and a more refined replicated choice operator.
Abstract: A programming style based on concurrent objects arises almost inevitably in languages where processes communicate by exchanging data on channels. Using the pict language as an experimental testbed, we introduce a simple object-based programming style and compare three techniques for controlling concurrency between methods in this setting: explicit locking, a standard choice operator, and a more refined replicated choice operator.
TL;DR: The Pollution-Induced Community Tolerance (PICT) concept as mentioned in this paper detects whether a pollutant has eliminated sensitive species from a community and thereby increased its tolerance and has the potential to link assessments of the ecological and chemical status of ecosystems by providing causal analysis for effect based monitoring of impacted field sites.
Abstract: A major challenge in environmental risk assessment of pollutants is establishing a causal relationship between field exposure and community effects that integrates both structural and functional complexity within ecosystems. Pollution-induced community tolerance (PICT) is a concept that evaluates whether pollutants have exerted a selection pressure on natural communities. PICT detects whether a pollutant has eliminated sensitive species from a community and thereby increased its tolerance. PICT has the potential to link assessments of the ecological and chemical status of ecosystems by providing causal analysis for effect-based monitoring of impacted field sites. Using PICT measurements and microbial community endpoints in environmental assessment schemes could give more ecological relevance to the tools that are now used in environmental risk assessment. Here, we propose practical guidance and a list of research issues that should be further considered to apply the PICT concept in the field.
TL;DR: Whether PICT is a sensitive and powerful tool to quantify ecological effects in field conditions, to link them to toxicant stress, and thus to determine whether PICT may be taken into consideration in risk assessment is summarized.
Abstract: The concept of pollution-induced community tolerance (PICT) consists of the phenomenon that communities in an ecosystem exhibit increased tolerance as a result of exposure to contaminants. Although a range of ‘classic’ ecological principles explains the processes that increase tolerance of a community, the value of PICT for ecological risk assessment was recognized only recently (Blanck et al. 1988). The following issues are recognized: First, regarding the question on the role of suspect compounds causing ecological effects, the PICT approach covers the issue of causality better than ‘classical’ ecological community response parameters like species densities or species diversity indices. This relates to the fact that the level of PICT is assumed to be relatively constant (compared to density and diversity), whereas the suspect compound causing the observed effect can be deduced with relative clear inference from artificial exposure experiments. Second, PICT directly addresses a level of biological organi...