The game jam movement: disruption, performance and artwork

This paper explores the current conventions and intentions of the game jam - contemporary events that encourage the rapid, collaborative creation of game design prototypes. Game jams are often renowned for their capacity to encourage creativity and the development of alternative, innovative game designs. However, there is a growing necessity for game jams to continue to challenge traditional development practices through evolving new formats and perspectives to maintain the game jam as a disruptive, refreshing aspect of game development culture. As in other creative jam style events, a game jam is not only a process but also, an outcome. Through a discussion of the literature this paper establishes a theoretical basis with which to analyse game jams as disruptive, performative processes that result in original creative artefacts. In support of this, case study analysis of Development Cultures: a series of workshops that centred on innovation and new forms of practice through play, chance, and experimentation, is presented. The findings indicate that game jams can be considered as processes that inspire creativity within a community and that the resulting performances can be considered as a form of creative artefact, thus parallels can be drawn between game jams and performative and interactive art.

World-wide evangelization the urgent business of the church; addresses delivered before the fourth international convention of the Student volunteer movement for foreign missions, Toronto, Canada, February 26-March 2, 1902.

http://www.archive.org/details/worldwideevangel00unknuoft

Real Time Eye Tracking and Blink Detection with USB Cameras

A human-computer interface (HCI) system designed for use by people with severe disabilities is presented. People that are severely paralyzed or afflicted with diseases such as ALS (Lou Gehrig's disease) or multiple sclerosis are unable to move or control any parts of their bodies except for their eyes. The system presented here detects the user's eye blinks and analyzes the pattern and duration of the blinks, using them to provide input to the computer in the form of a mouse click. After the automatic initialization of the system occurs from the processing of the user's involuntary eye blinks in the first few seconds of use, the eye is tracked in real time using correlation with an online template. If the user's depth changes significantly or rapid head movement occurs, the system is automatically reinitialized. There are no lighting requirements nor offline templates needed for the proper functioning of the system. The system works with inexpensive USB cameras and runs at a frame rate of 30 frames per second. Extensive experiments were conducted to determine both the system's accuracy in classifying voluntary and involuntary blinks, as well as the system's fitness in varying environment conditions, such as alternative camera placements and different lighting conditions. These experiments on eight test subjects yielded an overall detection accuracy of 95.3%.

Learning and Production of Movement Sequences: Behavioral, Neurophysiological, and Modeling Perspectives

A growing wave of behavioral studies, using a wide variety of paradigms that were introduced or greatly refined in recent years, has generated a new wealth of parametric observations about serial order behavior. What was a mere trickle of neurophysiological studies has grown to a more steady stream of probes of neural sites and mechanisms underlying sequential behavior. Moreover, simulation models of serial behavior generation have begun to open a channel to link cellular dynamics with cognitive and behavioral dynamics. Here we summarize the major results from prominent sequence learning and performance tasks, namely immediate serial recall, typing, 2XN, discrete sequence production, and serial reaction time. These populate a continuum from higher to lower degrees of internal control of sequential organization. The main movement classes covered are speech and keypressing, both involving small amplitude movements that are very amenable to parametric study. A brief synopsis of classes of serial order models, vis-à-vis the detailing of major effects found in the behavioral data, leads to a focus on competitive queuing (CQ) models. Recently, the many behavioral predictive successes of CQ models have been joined by successful prediction of distinctively patterend electrophysiological recordings in prefrontal cortex, wherein parallel activation dynamics of multiple neural ensembles strikingly matches the parallel dynamics predicted by CQ theory. An extended CQ simulation model-the N-STREAMS neural network model-is then examined to highlight issues in ongoing attemptes to accomodate a broader range of behavioral and neurophysiological data within a CQ-consistent theory. Important contemporary issues such as the nature of working memory representations for sequential behavior, and the development and role of chunks in hierarchial control are prominent throughout.

From Parallel Sequence Representations to Calligraphic Control: A Conspiracy of Neural Circuits

Calligraphic writing presents a rich set of challenges to the human movement control system. These challenges include: initial learning, and recall from memory, of prescribed stroke sequences; critical timing of stroke onsets and durations; fine control of grip and contact forces; and letter-form invariance under voluntary size scaling, which entails fine control of stroke direction and amplitude during recruitment and derecruitment of musculoskeletal degrees of freedom. Experimental and computational studies in behavioral neuroscience have made rapid progress toward explaining the learning, planning and contTOl exercised in tasks that share features with calligraphic writing and drawing. This article summarizes computational neuroscience models and related neurobiological data that reveal critical operations spanning from parallel sequence representations to fine force control. Part one addresses stroke sequencing. It treats competitive queuing (CQ) models of sequence representation, performance, learning, and recall. Part two addresses letter size scaling and motor equivalence. It treats cursive handwriting models together with models in which sensory-motor tmnsformations are performed by circuits that learn inverse differential kinematic mappings. Part three addresses fine-grained control of timing and transient forces, by treating circuit models that learn to solve inverse dynamics problems.

Neural Dynamics of Saccadic and Smooth Pursuit Eye Movement Coordination during Visual Tracking of Unpredictably Moving Targets

How does the brain use eye movements to track objects that move in unpredictable directions and speeds? Saccadic eye movements rapidly foveate peripheral visual or auditory targets and smooth pursuit eye movements keep the fovea pointed toward an attended moving target. Analyses of tracking data in monkeys and humans reveal systematic deviations from predictions of the simplest model of saccade-pursuit interactions, which would use no interactions other than common target selection and recruitment of shared motoneurons. Instead, saccadic and smooth pursuit movements cooperate to cancel errors of gaze position and velocity, and thus to maximize target visibility through time. How are these two systems coordinated to promote visual localization and identification of moving targets? How are saccades calibrated to correctly foveate a target despite its continued motion during the saccade? A neural model proposes answers to such questions. The modeled interactions encompass motion processing areas MT, MST, FPA, DLPN and NRTP; saccade planning and execution areas FEF and SC; the saccadic generator in the brain stem; and the cerebellum. Simulations illustrate the model’s ability to functionally explain and quantitatively simulate anatomical, neurophysiological and behavioral data about SAC-SPEM tracking.

Target Selection by Frontal Cortex During Coordinated Saccadic and Smooth Pursuit Eye Movement

Oculomotor tracking of moving objects is an important component of visually based cognition and planning. Such tracking is achieved by a combination of saccades and smooth pursuit eye movements. In particular, the saccadic and smooth pursuit systems interact to often choose the same target, and to maximize its visibility through time. How do multiple brain regions interact, including frontal cortical areas, to decide the choice of a target among several competing moving stimuli? How is target selection information that is created by a bias (e.g., electrical stimulation) transferred from one movement system to another? These saccade-pursuit interactions are clarified by a new computational neural model, which describes interactions among motion processing areas MT, MST, FPA, DLPN; saccade specification, selection, and planning areas LIP, FEF, SNr, SC; the saccadic generator in the brain stem; and the cerebellum. Model simulations explain a broad range of neuroanatomical and neurophysiological data. These results are in contrast with the simplest parallel model with no interactions between saccades and pursuit than common-target selection and recruitment of shared motoneurons. Actual tracking episodes in primates reveal multiple systematic deviations from predictions of the simplest parallel model, which are explained by the current model.

The Hippocampus and Cerebellum in Adaptively Timed Learning, Recognition, and Movement

The concepts of declarative memory and procedural memory have been used to distinguish two basic types of learning. A neural network model suggests how such memory processes work together as recognition learning, reinforcement learning, and sensory-motor learning take place during adaptive behaviors. To coordinate these processes, the hippocampal formation and cerebellum each contain circuits that learn to adaptively time their outputs. Within the model, hippocampal timing helps to maintain attention on motivationally salient goal objects during variable task-related delays, and cerebellar timing controls the release of conditioned responses. This property is part of the model's description of how cognitive-emotional interactions focus attention on motivationally valued cues, and how this process breaks down due to hippocampal ablation. The model suggests that the hippocampal mechanisms that help to rapidly draw attention to salient cues could prematurely release motor commands were not the release of these commands adaptively timed by the cerebellum. The model hippocampal system modulates cortical recognition learning without actually encoding the representational information that the cortex encodes. These properties avoid the difficulties faced by several models that propose a direct hippocampal role in recognition learning. Learning within the model hippocampal system controls adaptive timing and spatial orientation. Model properties hereby clarify how hippocampal ablations cause amnesic symptoms and difficulties with tasks which combine task delays, novelty detection, and attention towards goal objects amid distractions. When these model recognition, reinforcement, sensory-motor, and timing processes work together, they suggest how the brain can accomplish conditioning of multiple sensory events to delayed rewards, as during serial compound conditioning.

Vector Associative Maps: Unsupervised Real-time Error-based Learning and Control of Movement Trajectories

This article describes neural network models for adaptive control of arm movement trajectories during visually guided reaching and, more generally, a framework for unsupervised real-time error-based learning. The models clarify how a child, or untrained robot, can learn to reach for objects that it sees. Piaget has provided basic insights with his concept of a circular reaction: As an infant makes internally generated movements of its hand, the eyes automatically follow this motion. A transformation is learned between the visual representation of hand position and the motor representation of hand position. Learning of this transformation eventually enables the child to accurately reach for visually detected targets. Grossberg and Kuperstein have shown how the eye movement system can use visual error signals to correct movement parameters via cerebellar learning. Here it is shown how endogenously generated arm movements lead to adaptive tuning of arm control parameters. These movements also activate the target position representations that are used to learn the visuo-motor transformation that controls visually guided reaching. The AVITE model presented here is an adaptive neural circuit based on the Vector Integration to Endpoint (VITE) model for arm and speech trajectory generation of Bullock and Grossberg. In the VITE model, a Target Position Command (TPC) represents the location of the desired target. The Present Position Command (PPC) encodes the present hand-arm configuration. The Difference Vector (DV) population continuously.computes the difference between the PPC and the TPC. A speed-controlling GO signal multiplies DV output. The PPC integrates the (DV)·(GO) product and generates an outflow command to the arm. Integration at the PPC continues at a rate dependent on GO signal size until the DV reaches zero, at which time the PPC equals the TPC. The AVITE model explains how self-consistent TPC and PPC coordinates are autonomously generated and learned. Learning of AVITE parameters is regulated by activation of a self-regulating Endogenous Random Generator (ERG) of training vectors. Each vector is integrated at the PPC, giving rise to a movement command. The generation of each vector induces a complementary postural phase during which ERG output stops and learning occurs. Then a new vector is generated and the cycle is repeated. This cyclic, biphasic behavior is controlled by a specialized gated dipole circuit. ERG output autonomously stops in such a way that, across trials, a broad sample of workspace target positions is generated. When the ERG shuts off, a modulator gate opens, copying the PPC into the TPC. Learning of a transformation from TPC to PPC occurs using the DV as an error signal that is zeroed due to learning. This learning scheme is called a Vector Associative Map, or VAM. The VAM model is a general-purpose device for autonomous real-time error-based learning and performance of associative maps. The DV stage serves the dual function of reading out new TPCs during performance and reading in new adaptive weights during learning, without a disruption of real-time operation. YAMs thus provide an on-line unsupervised alternative to the off-line properties of supervised error-correction learning algorithms. YAMs and VAM cascades for learning motor-to-motor and spatial-to-motor maps are described. YAM models and Adaptive Resonance Theory (ART) models exhibit complementary matching, learning, and performance properties that together provide a foundation for designing a total sensory-cognitive and cognitive-motor autonomous system.

Adaptive Neural Networks for Control of Movement Trajectories Invariant under Speed and Force Rescaling

This article describes two neural network modules that form part of an emerging theory of how adaptive control of goal-directed sensory-motor skills is achieved by humans and other animals. The Vector-Integration-To-Endpoint (VITE) model suggests how synchronous multi-joint trajectories are generated and performed at variable speeds. The Factorization-of-LEngth-and-TEnsion (FLETE) model suggests how outflow movement commands from a VITE model may be performed at variable force levels without a loss of positional accuracy. The invariance of positional control under speed and force rescaling sheds new light upon a familiar strategy of motor skill development: Skill learning begins with performance at low speed and low limb compliance and proceeds to higher speeds and compliances. The VITE model helps to explain many neural and behavioral data about trajectory formation, including data about neural coding within the posterior parietal cortex, motor cortex, and globus pallidus, and behavioral properties such as Woodworth's Law, Fitts Law, peak acceleration as a function of movement amplitude and duration, isotonic arm movement properties before and after arm-deafferentation, central error correction properties of isometric contractions, motor priming without overt action, velocity amplification during target switching, velocity profile invariance across different movement distances, changes in velocity profile asymmetry across different movement durations, staggered onset times for controlling linear trajectories with synchronous offset times, changes in the ratio of maximum to average velocity during discrete versus serial movements, and shared properties of arm and speech articulator movements. The FLETE model provides new insights into how spina-muscular circuits process variable forces without a loss of positional control. These results explicate the size principle of motor neuron recruitment, descending co-contractive compliance signals, Renshaw cells, Ia interneurons, fast automatic reactive control by ascending feedback from muscle spindles, slow adaptive predictive control via cerebellar learning using muscle spindle error signals to train adaptive movement gains, fractured somatotopy in the opponent organization of cerebellar learning, adaptive compensation for variable moment-arms, and force feedback from Golgi tendon organs. More generally, the models provide a computational rationale for the use of nonspecific control signals in volitional control, or "acts of will", and of efference copies and opponent processing in both reactive and adaptive motor control tasks.

Participation by place-based community organisations in local development: case studies from East Cork

The past two decades have witnessed concerted efforts by theorists and policy-makers to place civil society at the centre of social, economic and environmental development processes. To this end, policies grounded in a Third Way approach have sought to forge stronger linkages between the state and voluntary community-based organisations. Concepts such as active citizenship, social capital, partnership and sustainability have underpinned this political philosophy, which reflects a movement in development theory and political science away from notions of state-led development and unfettered neo-liberalism. In the Irish context, a series of initiatives have given expression to this new policy agenda, the foremost amongst them the publication of a White Paper in 2000. New local governance structures and development schemes have multiplied since the early 1990s, while the physical planning system has also been modified. All this has taken place against the backdrop of unprecedented economic development and social change precipitated by the ‘Celtic Tiger’.This thesis examines the interaction between community organisations, state institutions and other actors in development processes in East Cork. It focuses upon place-based community organisations, who seek to represent the interests of their particular localities. A case study approach is employed to explore the realpolitik of local development and to gauge the extent to which grassroots community organisations wield influence in determining the development of their communities. The study concludes that the transfer of decision-making power to community organisations has been more illusory than real and that, in practical terms, such groups remain marginal in the circuits of power. However, the situation of community organisations operating in different geographical locales cannot be reduced to an overarching theoretical logic. The case studies show that the modus operandi of community groups varies considerably and can be influenced by specific local geographies, events and personalities.

The Irish credit union movement: member participation and organisational effectiveness

This thesis explores the relationship between organisational effectiveness and member participation in Irish credit unions. It is hypothesised that a positive relationship exists between both variables. Co-operative literature suggests that co-operatives require the involvement of the members in identifying and meeting their own needs in order to be effective organisations. Previous research studies into the issue across a variety of organisational types have shown mixed results. Related research into credit unions is sparse. The primary research undertaken is both quantitative and qualitative in approach. Organisational effectiveness is examined in both quantitative and qualitative terms. Member participation, being an organisational process, is examined in qualitative terms. Indicators of organisational effectiveness, specific to credit unions, are drawn up and form a framework through which effectiveness is examined. A typology and indicators of member participation are also developed and form a framework through which member participation is examined. The case study method is used primarily, to examine organisational effectiveness and member participation in Irish credit unions. A case study of a theoretical credit union, which is based on a composite of good practice in credit unions in Ireland and internationally, is also drawn up to develop the analysis further. The case studies allow an analysis of both organisational effectiveness and member participation, as well as an exploration of the relationship between the two. The findings support the hypothesis that there is a direct relationship between the two variables. In order to be effective, credit unions must involve their members in identifying their needs and in designing services to meet these needs. At present, they do not do this to any large extent. In order to continue to meet the needs of their members and to compete in the financial services sector, credit unions will need to find ways of involving members, drawing on good practice in other co-operatives. This will be critical to their continued success.

The corporate social responsibility movement and law's empire: Is there a conflict?

At the heart of corporate governance and social responsibility discourse is recognition of the fact that the modern corporation is primarily governed by the profit maximisation imperative coupled with moral and ethical concerns that such a limited imperative drives the actions of large and wealthy corporations which have the ability to act in influential and significant ways, shaping how our social world is experienced. The actions of the corporation and its management will have a wide sphere of impact over all of its stakeholders whether these are employees, shareholders, consumers or the community in which the corporation is located. As globalisation has become central to the way we think it is also clear that ‘community’ has an ever expanding meaning which may include workers and communities living very far away from Corporate HQ. In recent years academic commentators have become increasingly concerned about the emphasis on what can be called short-term profit maximisation and the perception that this extremist interpretation of the profit imperative results in morally and ethically unacceptable outcomes.1 Hence demands for more corporate social responsibility. Following Cadbury’s2 classification of corporate social responsibility into three distinct areas, this paper will argue that once the legally regulated tier is left aside corporate responsibility can become so nebulous as to be relatively meaningless. The argument is not that corporations should not be required to act in socially responsible ways but that unless supported by regulation, which either demands high standards, or at the very least incentivises the attainment of such standards such initiatives are doomed to failure. The paper will illustrate by reference to various chosen cases that law’s discourse has already signposted ways to consider and resolve corporate governance problems in the broader social responsibility context.3 It will also illustrate how corporate responsibility can and must be supported by legal measures. Secondly, this paper will consider the potential conflict between an emphasis on corporate social responsibility and the regulatory approach.4 Finally, this paper will place the current interest in corporate social responsibility within the broader debate on the relationship between law and non-legally enforceable norms and will present some reflections on the norm debate arising from this consideration of the CSR movement.

Challengers to provisional republicanism: the official republican movement, people’s democracy and the Irish republican socialist party, 1968–98

The Provisional IRA and its political wing Sinn Féin have attracted by far the greatest scholarly interest of all the players in the Northern Irish conflict. This emphasis is perfectly legitimate, given the centrality of the Provos to so many turning-points in the conflict, from the collapse of Stormont in the early 1970s to the hunger strikes of the following decade and the ceasefires which were followed by the Belfast Agreement. My project, however, looks at political groups that at one time or another challenged the Provos for leadership of the militant, anti-state constituency in Northern Ireland (chiefly based in the Catholic working class). Although never as large or influential as the Provisional republicans, groups such as the Official IRA and the Irish Republican Socialist Party sometimes had a discernible impact on the course of events which is overlooked by most studies, and often pioneered ideas and tactics that were later adopted by the Provos themselves. The idea that republicans should embrace political action and work in broad campaigning alliances was promoted by the IRSP and socialist groups such as People’s Democracy before it was taken up by Gerry Adams and his allies, while the Official IRA supported the principle of a settlement based on democratization of the Northern Irish state, which was later accepted by Sinn Féin in the form of the Belfast Agreement. The goal of my research is to provide a novel perspective on the conflict in Northern Ireland, while engaging with theoretical debates about its character.

The defining characteristics of alternative food initiatives in Ireland: a social movement battling for an alternative food future?

Alternative food initiatives (AFIs) have been described as an attempt to change and improve aspects of how the food system operates. They are focused around more traditional, local and sustainable food production and circulation. AFIs such as farmers’ markets, allotments and community gardens, share a desire to reduce the number of steps food goes through from production to plate. The role of these initiatives in the food system, and their potential to impact real change, has however been questioned. Working to better understand this issue is a central concern of this research. To do this a two tier analysis has been deployed. The first tier involves identifying the characteristics and general dynamics of AFIs. Bourdieu’s theory of practice, and the theories of field and capital, are the concepts applied. The research then uses these findings in the second tier of analysis concerned with relating AFI characteristics and dynamics back to their key traits, positive and negative, as well as arguments made about AFI’s role identified from previous research. Another part of this second tier of analysis is exploring if AFIs, the producers, consumers, organisations and groups that make up this phenomenon, can be considered a social movement. AFIs can be referred to collectively as a social movement, but are not often explored theoretically from this perspective. AFIs in Ireland provide the empirical context for this research. A series of qualitative interviews in four areas of Ireland, as well as evidence from primary and secondary sources are analysed. The research finds that AFIs can be understood as the potential beginnings of a lifestyle social movement. Leaders are of central importance to its development. It is also found that an important role of AFIs is revitalising, supporting and contributing to food culture.