Interactor

Abstract: In a multi-user online real-time network in which users access content associated with a plurality of social networks related by common communities of interest, an interactor client application is embedded in content pages accessed by a user, and the user is provided a list of other users and the content pages in the related social networks that they are accessing. The inteactor client application cooperates with an interactor server application on a network server to enable a user to view the content being accessed by multiple selected ones of the other users, and to interact with the other users online and in real time.

Abstract: Although there has been important progress in models and packages for the output of graphics to computer screens, there has been little change in the way that input from the mouse, keyboard, and other input devices is handled. New graphics standards are still using a fifteen-year-old model even though it is widely accepted as inadequate, and most modern window managers simply return a stream of low-level, device-dependent input events. This paper presents a new model that handles input devices for highly interactive, direct manipulation, graphical user interfaces, which could be used in future toolkits, window managers, and graphics standards. This model encapsulates interactive behaviors into a few “Interactor” object types. Application programs can then create instances of these Interactor objects which hide the details of the underlying window manager events. In addition, Interactors allow a clean separation between the input handling, the graphics, and the application programs. This model has been extensively used as part of the Garnet system and has proven to be convenient, efficient, and easy to learn.

Abstract: This paper evaluates and criticises the developmental systems conception of evolution and develops instead an extension of the “gene's eye” conception of evolution. We argue (i) Dawkin's attempt to segregate developmental and evolutionary issues about genes is unsatisfactory. On plausible views of development it is arbitrary to single out genes as the units of selection. (ii) The genotype does not carry information about the phenotype in any way that distinguishes the role of the genes in development from that other factors. (iii) There is no simple and general causal criterion which distinguishes the role of genes in development and evolution. (iv) There is, however, an important sense in which genes but not every other developmental factor represent the phenotype. (v) The idea that genes represent features of the phenotype forces us to recognise that genes are not the only, or almost the only, replicators. Many mechanisms of replication are involved in both development and evolution. (vi) A conception of evolutionary history which recognises both genetic and non-genetic replicators, lineages of replicators and interactors has advantages over both the radical rejection of the replicator/interactor distinction and the conservative restriction of replication to genetic replication.

Abstract: Biotic interactions can influence the ranges and abundances of species, but no clear guidelines exist for integrating them into correlative models of niches and distributions. Niche/distributional models characterize environmental/habitat suitability or species presence using predictor variables unaffected by (= unlinked to) the population of the focal species. Such variables (termed ‘scenopoetic’) typically have been considered to include only abiotic factors. In contrast, population–demographic approaches model the abundance of the focal species by including linked predictor variables, which frequently are biotic interactors. Nevertheless, a focal species might hold no, or negligible, population-level effects on its biotic interactors. Hence, contrary to current theory, such interactors would represent unlinked variables valid and potentially very useful for niche/distributional models. Consideration of population-level effects indicates that facilitators and affecting amensals (species that negatively affect another species but are not affected by it) constitute unlinked variables, but commensals and affected amensals do not. For competitors, mutualists, predators/prey, consumers/resources, and parasites/hosts, additional information is necessary. Specifically, available ecological/natural history information for the particular species involved (e.g. regarding specificity) and theory regarding ecological networks can allow identification of interactors that are likely to be unlinked or nearly so. Including an unlinked biotic interactor as a predictor variable in a niche/distributional model should improve predictions when the effects of the biotic interactor vary across the study region, or in another place or time period. Other relevant interactors must be taken into account by post-processing a niche/distributional model, or via population–demographic models that require abundance data over time. This framework should improve current correlative models and highlights areas requiring progress.