Healthy Returns Initiative: Strengthening Mental Health Services in the Juvenile Justice System

Youth in the juvenile justice system suffer from a variety of mental illnesses, and, if not treated, these issues can become worse. The published literature shows that most of the youth in the system suffer from a debilitating mental illness. Lack of health care coverage also represents a major issue, as there are few services available to youth who do not have coverage

A Neural Model for Generating Natural Language Summaries of Program Subroutines

Source code summarization -- creating natural language descriptions of source code behavior -- is a rapidly-growing research topic with applications to automatic documentation generation, program comprehension, and software maintenance. Traditional techniques relied on heuristics and templates built manually by human experts. Recently, data-driven approaches based on neural machine translation have largely overtaken template-based systems. But nearly all of these techniques rely almost entirely on programs having good internal documentation; without clear identifier names, the models fail to create good summaries. In this paper, we present a neural model that combines words from code with code structure from an AST. Unlike previous approaches, our model processes each data source as a separate input, which allows the model to learn code structure independent of the text in code. This process helps our approach provide coherent summaries in many cases even when zero internal documentation is provided. We evaluate our technique with a dataset we created from 2.1m Java methods. We find improvement over two baseline techniques from SE literature and one from NLP literature

National Institute of Mental Health Roundtable Discussion: Promissory Notes and Prevailing Norms in Social and Behavioral Sciences Research

Most workshops convened by the National Institute's of Health are devoted to the puzzle-solving activities of normal science, where the puzzles themselves and the strategies available for solving them are determined largely in advance by the shared paradigmatic assumptions, frameworks, and priorities of the scientific community's research paradigm. They are designed to facilitate what Thomas Kuhn referred to as elucidating topological detail within a map whose main outlines are available in advance. And apparently for good reason. Historical studies by Kuhn and others reveal that science moves fastest and penetrates most deeply when its practitioners work within well-defined and deeply ingrained traditions and employ the concepts, theories, methods, and tools of a shared paradigm. No paradigm is perfect and none is capable of identifying, let alone solving, all of the problems relevant to a given domain of inquiry. Thus, the essential day-to-day business of normal science is not to question the limits or adequacy of a given paradigm, but rather to exploit the presumed virtues for which it was adopted. As Kuhn cautioned in his discussion of paradigms, re-tooling, in science as in manufacture, as an extravagance to be reserved for the occasion that demands it. Well, as the marketing people say --- this is not your father's Oldsmobile. We are breaking with tradition today by stepping outside the map to initiate and pursue a long-overdue dialogue about paradigm reform and scientific retooling. Our warrant for prosecuting this agenda is a Kuhnian occasion that demands it--- is a protracted paradigm crisis, the neglect of which has hurt us terribly and the resolution of which will determine the viability and fate of the social and behavioral sciences in the 21st century. Since the details of the crisis are well know within and outside our ranks, a brief sketch of its main outlines will suffice as a framework for our dialogue today. They include, (a) widespread dissatisfaction with the meager theoretical progress and practical yield of more than a century of social and behavioral sciences research in many substantive domains, (b) long-neglected yet widely recognized deficiencies in the epistemological assumptions, discovery practices and justification standards of the dominant paradigm on which the social and behavioral sciences have relied --- and rely--- to conceptualize, interpret, and guide their empirical research, (c) a broadly based consensus among leading scholars and scientists about the need for fundamental paradigm reforms, and (d) institutional incentive structures that not only encourage and reinforce the status quo but discourage constructive reform efforts. Our objective for the next eight hours is to formulate strategies and recommendations for leveraging the resources and influence of the National Institute of Mental Health to foster a climate of constructive reforms where they are needed by freeing investigators in from the oppressive constraints of existing paradigms and facilitating, encouraging, and funding their retooling their effort

Brain-inspired conscious computing architecture

What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such system, guided and limited by associative memory, is similar to the stream of consciousness. Minimal requirements for an artificial system that will claim to be conscious were given in form of specific architecture named articon. Nonverbal discrimination of the working memory states of the articon gives it the ability to experience different qualities of internal states. Analysis of the inner state flows of such a system during typical behavioral process shows that qualia are inseparable from perception and action. The role of consciousness in learning of skills, when conscious information processing is replaced by subconscious, is elucidated. Arguments confirming that phenomenal experience is a result of cognitive processes are presented. Possible philosophical objections based on the Chinese room and other arguments are discussed, but they are insufficient to refute claims articon’s claims. Conditions for genuine understanding that go beyond the Turing test are presented. Articons may fulfill such conditions and in principle the structure of their experiences may be arbitrarily close to human

The role of falsification in the development of cognitive architectures: insights from a Lakatosian analysis

It has been suggested that the enterprise of developing mechanistic theories of the human cognitive architecture is flawed because the theories produced are not directly falsifiable. Newell attempted to sidestep this criticism by arguing for a Lakatosian model of scientific progress in which cognitive architectures should be understood as theories that develop over time. However, Newell’s own candidate cognitive architecture adhered only loosely to Lakatosian principles. This paper reconsiders the role of falsification and the potential utility of Lakatosian principles in the development of cognitive architectures. It is argued that a lack of direct falsifiability need not undermine the scientific development of a cognitive architecture if broadly Lakatosian principles are adopted. Moreover, it is demonstrated that the Lakatosian concepts of positive and negative heuristics for theory development and of general heuristic power offer methods for guiding the development of an architecture and for evaluating the contribution and potential of an architecture’s research program

(WP 2018-03) Comment on White on the Relationship between Economics and Ethics

This short comment on Mark White’s comment on the relationship of economics and ethics focuses on the nature of economics and ethics as an emergent field of investigation. It discusses different types of between-discipline fields, and compares crossdisciplinary and transdisciplinary interpretations of economics and ethics. The ‘domestication’ thesis associated with borrowing across disciplines is examined in terms of the idea of a metaphorical transfers. Institutional constraints on between-discipline developments are evaluated relative to increasing specialization within and across disciplines. The transdisciplinary interpretation of economics and ethics is given a complexity theory explanation

Negative emotions boost users activity at BBC Forum

We present an empirical study of user activity in online BBC discussion forums, measured by the number of posts written by individual debaters and the average sentiment of these posts. Nearly 2.5 million posts from over 18 thousand users were investigated. Scale free distributions were observed for activity in individual discussion threads as well as for overall activity. The number of unique users in a thread normalized by the thread length decays with thread length, suggesting that thread life is sustained by mutual discussions rather than by independent comments. Automatic sentiment analysis shows that most posts contain negative emotions and the most active users in individual threads express predominantly negative sentiments. It follows that the average emotion of longer threads is more negative and that threads can be sustained by negative comments. An agent based computer simulation model has been used to reproduce several essential characteristics of the analyzed system. The model stresses the role of discussions between users, especially emotionally laden quarrels between supporters of opposite opinions, and represents many observed statistics of the forum.Comment: 29 pages, 6 figure

ASSIST: User's manual

Semi-Markov models can be used to compute the reliability of virtually any fault-tolerant system. However, the process of delineating all of the states and transitions in a model of a complex system can be devastingly tedious and error-prone. The ASSIST program allows the user to describe the semi-Markov model in a high-level language. Instead of specifying the individual states of the model, the user specifies the rules governing the behavior of the system and these are used by ASSIST to automatically generate the model. The ASSIST program is described and illustrated by examples