The biological cost of consciousness

Some philosophers maintain that consciousness as subjective experience has no biological function. However, conscious brain events seem very different from unconscious ones. The cortex and thalamus support the reportable qualitative contents of consciousness. Subcortical structures like the cerebellum do not. Likewise, attended sensory stimuli are typically reportable as conscious, while memories of those stimuli are not so reportable until they are specifically recalled. 

Reports of conscious experiences in normal humans always involve subjectivity and an implicit observing ego. Unconscious brain events are not reportable, even under optimal conditions of report. While there are claimed exceptions to these points, they are rare or poorly validated. 

Normal consciousness also implies high availability (rapid conscious access) of the questions routinely asked of neurological patients in the Mental Status Examination, such as common sense features of personal identity, time, place, and social context. Along with “current concerns,” recent conscious contents, and the like, these contents correspond to high frequency items in working memory. While working memory contents are not immediately conscious, they can be rapidly re-called to consciousness. 

The anatomy and physiology of reportable conscious sensorimotor contents are ultraconserved over perhaps 200 million years of mammalian evolution. By comparison, full-fledged language is thought to arise some 100,000 years ago in homo sapiens, while writing, which enables accel-erated cultural development, dates between 2.5 and 6 millennia. Contrary to some claims, therefore, conscious waking precedes language by hundreds of millions of years. 

Like other major adaptations, conscious and unconscious brain events have distinctive biological pros and cons. These involve information processing efficiency, metabolic costs and benefits, and behavioral pros and cons. The well known momentary limited capacity of conscious contents is an example of an information processing cost, while the very large and energy-hungry corticothalamic system makes costly metabolic demands. 

After a century of scientific neglect, fundamental concepts like “conscious,” “unconscious,” “voluntary” and “non-voluntary” are still vitally important, because they refer to major biopsychological phenomena that otherwise are difficult to discuss. 
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How conscious experience and working memory interact

Active components of classical working memory are conscious, but traditional theory does not account for this fact. Global Workspace theory suggests that consciousness is needed to recruit unconscious specialized networks that carry out detailed working memory functions. The IDA model provides a fine-grained analysis of this process, specifically of two classical workingmemory tasks, verbal rehearsal and the utilization of a visual image. In the process, new light is shed on the interactions between conscious and unconscious\ud aspects of working memory

Focus groups of value concepts of producers: National Report Netherlands

The Organic Revision project was funded by the EU with the aim of supporting the further development of the EU Regulation 2092/91 on organic production. As part of the project focus groups were run in five European countries on value concepts of organic producers and other stakeholders, during 2004-2005. The project aims to provide an overview of values held among organic stakeholders, and of similarities and differences among the various national and private organic standards. In the Netherlands four focus groups were held, one pre-test with researchers, and three groups with established organic producers both of livestock and horticulture. It was not possible to recruit any newly converted producers to a meeting in the Netherlands. The following conclusions were reached: Summarising the values in the words of the participants of these focus groups, organic agriculture could be defined as follows: "Organic agriculture is about producing endlessly, with care and respect for humans, animals, plants and soil. Organic farmers produce healthy and tasty food without harming the environment or the development of others. Their farms and agriculture in general are inter-connected with small and big world problems." Overall there seem to be many similarities between the groups. Values related to all principles were discussed in all the groups; the differences observed were related to the different backgrounds. The researchers spoke about their own experiences from work but also about their ideas from a consumer’s point of view. For the dairy farmers animal welfare was an important value while soil was more important to the arable farmers. Also with regard to the values nearness and proximity, differences between arable and dairy farmers seemed to reflect their daily practice. Arable farmers are faced with an anonymous market, with high and changing quality standards of the trade, and regard local production and consumption as a solution to their problems. The other groups of farmers also support this quest for another economic system. The researchers mention the unrealistic ideas of consumers concerning organic agriculture and they wonder how to make consumers more aware. The farmers would like to educate the consumer more, also about the relation of production in their country compared with production and development elsewhere. The farmers see the inter-connectedness of agriculture with income and development in developing countries very clearly and for some this was an important argument to convert. The farmers have a great feeling of responsibility for the world (ecologically and socially). For all of them the intentions are more important than the norms. On the basis of the coding, it appears that values in relation to three principles were most important in the discussion. These are the ecology principle, holism and systems approach and professional pride, in order of importance. The following values were mentioned in relation to the principle of ecology: Recycling (the cycle) and saving energy were of major importance and nature conservation or nature integration on the farm was an important aim for some farmers. Co-operation between arable and animal production is seen as a very important means to close the cycle. And in the Netherlands with far going specialisation of farms this is sometimes a real challenge. Conflicts with the economy easily arise but also conflicts with national legislation restrict the farmers in their development. The values itself are not experienced as restricting. All groups except for the arable farmers see a combination and balance of all principles as important in the future. Arable farmers see the soil as most important and other values as complementary. All groups of experienced farmers were worried about new converters, who seem to stick to the minimum values, as a threat to their profession. All participants seem to have the feeling to be part of the good guys and are being recognised by society in that way. They are proud of their profession and the sector. For the continuation of the sector a clear distinction from conventional agriculture is needed, but they are not afraid that conventional moves in the direction of organic. For the future, steady development and growth is preferred above fast growth. Others should also get the chance and time to develop in the way they did, but the new converters should not decrease the credibility of organic. Therefore, acceptable minimum rules should do justice to the values held by the sector as a whole

A Cognitive Science Based Machine Learning Architecture

In an attempt to illustrate the application of cognitive science principles to hard AI problems in machine learning we propose the LIDA technology, a cognitive science based architecture capable of more human-like learning. A LIDA based software agent or cognitive robot will be capable of three fundamental, continuously active, humanlike learning mechanisms:\ud 1) perceptual learning, the learning of new objects, categories, relations, etc.,\ud 2) episodic learning of events, the what, where, and when,\ud 3) procedural learning, the learning of new actions and action sequences with which to accomplish new tasks. The paper argues for the use of modular components, each specializing in implementing individual facets of human and animal cognition, as a viable approach towards achieving general intelligence

Vertical Coherence of Turbulence in the Atmospheric Surface Layer: Connecting the Hypotheses of Townsend and Davenport

Statistical descriptions of coherent flow motions in the atmospheric boundary layer have many applications in the wind engineering community. For instance, the dynamical characteristics of large-scale motions in wall-turbulence play an important role in predicting the dynamical loads on buildings, or the fluctuations in the power distribution across wind farms. Davenport (Quarterly Journal of the Royal Meteorological Society, 1961, Vol. 372, 194-211) performed a seminal study on the subject and proposed a hypothesis that is still widely used to date. Here, we demonstrate how the empirical formulation of Davenport is consistent with the analysis of Baars et al. (Journal of Fluid Mechanics, 2017, Vol. 823, R2) in the spirit of Townsend's attached-eddy hypothesis in wall turbulence. We further study stratification effects based on two-point measurements of atmospheric boundary-layer flow over the Utah salt flats. No self-similar scaling is observed in stable conditions, putting the application of Davenport's framework, as well as the attached eddy hypothesis, in question for this case. Data obtained under unstable conditions exhibit clear self-similar scaling and our analysis reveals a strong sensitivity of the statistical aspect ratio of coherent structures (defined as the ratio of streamwise and wall-normal extent) to the magnitude of the stability parameter

Near-Field Radio Holography of Large Reflector Antennas

We summarise the mathematical foundation of the holographic method of measuring the reflector profile of an antenna or radio telescope. In particular, we treat the case, where the signal source is located at a finite distance from the antenna under test, necessitating the inclusion of the so-called Fresnel field terms in the radiation integrals. We assume a ``full phase'' system with reference receiver to provide the reference phase. We describe in some detail the hardware and software implementation of the system used for the holographic measurement of the 12m ALMA prototype submillimeter antennas. We include a description of the practicalities of a measurement and surface setting. The results for both the VertexRSI and AEC (Alcatel-EIE-Consortium) prototype ALMA antennas are presented.Comment: 14 pages, 14 figures, to appear in IEEE Antennas and Propagation Magazine, Vol. 49, No. 5, October 2007. Version 2 includes nice mug-shots of the author

LIDA: A Working Model of Cognition

In this paper we present the LIDA architecture as a working model of cognition. We argue that such working models are broad in scope and address real world problems in comparison to experimentally based models which focus on specific pieces of cognition. While experimentally based models are useful, we need a working model of cognition that integrates what we know from neuroscience, cognitive science and AI. The LIDA architecture provides such a working model. A LIDA based cognitive robot or software agent will be capable of multiple learning mechanisms. With artificial feelings and emotions as primary motivators and learning facilitators, such systems will ‘live’ through a developmental period during which they will learn in multiple ways to act in an effective, human-like manner in complex, dynamic, and unpredictable environments. We discuss the integration of the learning mechanisms into the existing IDA architecture as a working model of cognition