The Future Evolution of Consciousness

ABSTRACT. What potential exists for improvements in the functioning of consciousness? The paper addresses this issue using global workspace theory. According to this model, the prime function of consciousness is to develop novel adaptive responses. Consciousness does this by putting together new combinations of knowledge, skills and other disparate resources that are recruited from throughout the brain. The paper’s search for potential improvements in the functioning of consciousness draws on studies of the shift during human development from the use of implicit knowledge to the use of explicit (declarative) knowledge. These studies show that the ability of consciousness to adapt a particular domain improves significantly as the transition to the use of declarative knowledge occurs in that domain. However, this potential for consciousness to enhance adaptability has not yet been realised to any extent in relation to consciousness itself. The paper assesses the potential for adaptability to be improved by the conscious adaptation of key processes that constitute consciousness. A number of sources (including the practices of religious and contemplative traditions) are drawn on to investigate how this potential might be realised

The embedding of a cyclic permutable subgroup in a finite group. II

In two previous papers we established the structure of the normal closure of a cyclic permutable subgroup $A$ of a finite group, first when $A$ has odd order and second when $A$ has even order, but with an extra hypothesis that was unnecessary in the odd case. Here we describe the most general situation without any restrictions on $A$

Improved decision support for engine-in-the-loop experimental design optimization

Experimental optimization with hardware in the loop is a common procedure in engineering and has been the subject of intense development, particularly when it is applied to relatively complex combinatorial systems that are not completely understood, or where accurate modelling is not possible owing to the dimensions of the search space. A common source of difficulty arises because of the level of noise associated with experimental measurements, a combination of limited instrument precision, and extraneous factors. When a series of experiments is conducted to search for a combination of input parameters that results in a minimum or maximum response, under the imposition of noise, the underlying shape of the function being optimized can become very difficult to discern or even lost. A common methodology to support experimental search for optimal or suboptimal values is to use one of the many gradient descent methods. However, even sophisticated and proven methodologies, such as simulated annealing, can be significantly challenged in the presence of noise, since approximating the gradient at any point becomes highly unreliable. Often, experiments are accepted as a result of random noise which should be rejected, and vice versa. This is also true for other sampling techniques, including tabu and evolutionary algorithms. After the general introduction, this paper is divided into two main sections (sections 2 and 3), which are followed by the conclusion. Section 2 introduces a decision support methodology based upon response surfaces, which supplements experimental management based on a variable neighbourhood search and is shown to be highly effective in directing experiments in the presence of a significant signal-to-noise ratio and complex combinatorial functions. The methodology is developed on a three-dimensional surface with multiple local minima, a large basin of attraction, and a high signal-to-noise ratio. In section 2, the methodology is applied to an automotive combinatorial search in the laboratory, on a real-time engine-in-the-loop application. In this application, it is desired to find the maximum power output of an experimental single-cylinder spark ignition engine operating under a quasi-constant-volume operating regime. Under this regime, the piston is slowed at top dead centre to achieve combustion in close to constant volume conditions. As part of the further development of the engine to incorporate a linear generator to investigate free-piston operation, it is necessary to perform a series of experiments with combinatorial parameters. The objective is to identify the maximum power point in the least number of experiments in order to minimize costs. This test programme provides peak power data in order to achieve optimal electrical machine design. The decision support methodology is combined with standard optimization and search methods – namely gradient descent and simulated annealing – in order to study the reductions possible in experimental iterations. It is shown that the decision support methodology significantly reduces the number of experiments necessary to find the maximum power solution and thus offers a potentially significant cost saving to hardware-in-the-loop experi- mentation

Small carrion beetles (Coleoptera: Leiodidae: Cholevinae) from burrows of Geomys and Thomomys pocket gophers (Rodentia: Geomyidae) in the United States

The cholevine beetles inhabiting burrows of Geomys and Thomomys pocket gophers (Rodentia: Geomyidae) are reviewed. Catops geomysi n. sp. and Ptomaphagus geomysi n. sp. are described. Both of these species and Ptomaphagus schwarzi Hatch appear to be regular and obligate inhabitants of Geomys burrows b~t are not host specific. Nemadus hornii Hatch, Sciodrepoides watsoni horn ian us (Blanchard), Catops s~mplex Say, Ptomaphagus cavernicola Schwarz, Ptomaphagus consobrinus (LeConte), Ptomaphagus fisus Horn, and Ptomaphagus texanus Horn were less frequently collected and are probably facultative inhabitants of Geomys burrows, as well as nests or dens of other small mammals. Ptomaphagus nevadicus Horn is an inhabitant of ~)Urrows of Thomomys pocket gophers in western North America. A key to the species of Ptomaphagus III the southeastern Gulf Coastal Plain, from non-cave habitats, is provided to aid in their identification

A multiblock grid generation technique applied to a jet engine configuration

Techniques are presented for quickly finding a multiblock grid for a 2D geometrically complex domain from geometrical boundary data. An automated technique for determining a block decomposition of the domain is explained. Techniques for representing this domain decomposition and transforming it are also presented. Further, a linear optimization method may be used to solve the equations which determine grid dimensions within the block decomposition. These algorithms automate many stages in the domain decomposition and grid formation process and limit the need for human intervention and inputs. They are demonstrated for the meridional or throughflow geometry of a bladed jet engine configuration

Coverage and density of a low power, low data rate, spread spectrum wireless sensor network for agricultural monitoring

A physical layer specification for a low power, low complexity, low data rate sensor network suitable for agricultural monitoring is investigated. Code division multiple access (CDMA) with high processing gain is used to facilitate transmission powers which comply with the Ultra Wide Band (UWB) spectral mask, and this permits physically small nodes with limited energy storage capacity. The interference arising from each node is calculated, and it is shown that for the investigated scenario and specification, an aggregate data rate of 2 bytes per minute and a node population of approximately 1000 can be supported at distances up to a few kilometres from the central node, with less than 0.2% chance of failure due to multiple access interference

A summary of the endemic beetle genera of the West Indies (Insecta: Coleoptera); bioindicators of the evolutionary richness of this Neotropical archipelago

The Caribbean Islands (or the West Indies) are recognized as one of the leading global biodiversity hot spots. This is based on data on species, genus, and family diversity for vascular plants and non-marine vertebrates. This paper presents data on genus level endemicity for the most speciose (but less well publicised) group of terrestrial animals: the beetles, with 205 genera (in 25 families) now recognized as being endemic (restricted) to the West Indies. The predominant families with endemic genera are Cerambycidae (41), Chrysomelidae (28), Curculionidae (26), and Staphylinidae (25). This high level of beetle generic endemicity can be extrapolated to suggest that a total of about 700 genera of all insects could be endemic to the West Indies. This far surpasses the total of 269 endemic genera of all plants and non-marine vertebrates, and reinforces the biodiversity richness of the insect fauna of the West Indies.Las islas del Caribe (o Indias Occidentales) son reconocidas como uno de los principales hotspots de la biodiversidad global. Esto se basa en datos sobre la diversidad de especies, géneros y familias de plantas vasculares y vertebrados no-marinos. Este trabajo presenta datos sobre la endemicidad a nivel genérico para el más especioso (pero menos popularizado) grupo de animales terrestres: los escarabajos, con 205 géneros (en 25 familias) reconocidos al presente como endémicos (restringidos) a las Indias Occidentales. Las familias predominantes en géneros endémicos son Cerambycidae (41), Chrysomelidae (28), Curculionidae (26) y Staphylinidae (25). Este alto nivel de endemicidad genérica en los escarabajos puede extrapolarse a sugerir que alrededor de 700 géneros pudieran ser endémicos entre todos los insectos de las Indias Occidentales. Esto sobrepasa ampliamente el total de 269 géneros endémicos de plantas y vertebrados no-marinos y refuerza la riqueza en biodiversidad de la fauna de insectos en las Indias Occidentales