Do older and younger people differ in their reported well-being? A national survey of adults in Britain

Aim To document population perceptions of well-being and predictors of self-assessed well-being. METHODS: National face-to-face interview survey of adults aged ?16 years, conducted by the Office for National Statistics for their Omnibus Survey in Britain (response 58%; 1049 of 1823 eligible). RESULTS: People aged 65+ years were more likely than younger people to define well-being as being able to continue to do the things they had always done. Most men and women, in all age groups, rated their well-being and mental well-being positively. Self-rated health, mental health symptoms, long-standing illness and social support were the main drivers of overall well-being in all age groups. Mental health symptoms, long-standing illness and social support were the main drivers of mental well-being. For example, in reduced multivariable models, those who reported no long-standing illness had almost twice the odds of others, of good, rather than not good, overall well-being, and over three times the odds of good, rather than not good, mental well-being. The odds of good versus not good overall well-being were also multiplied by 1.002 for each additional available person for comfort and support and similarly by 1.073 in relation to mental well-being. CONCLUSIONS: Understanding the drivers of well-being among adults, including older adults, is of high policy importance. Attention should be focused on improvements in population health and functioning and on encouraging younger and older people to develop and maintain social support networks and engagement in social activities

Living in Interesting Times: President Obama and the Rebirth of the Labor Movement

Legislation has been introduced in the United States that will allow workers to form unions without secret ballot voting among prospective members. This legislation, in its current form, is the most radical change in Federal law governing union recognition in its history. While passage of the legislation is far from certain, it has generated much discussion and argument, most of it polemical. This article examines the issue from a more academic perspective, reviewing the history of organizing and how management practices have developed that effectively use the current election process as a tool to resist organizing efforts, and the effect the legislation might have upon those practices

Chorusing, synchrony, and the evolutionary functions of rhythm

A central goal of biomusicology is to understand the biological basis of human musicality. One approach to this problem has been to compare core components of human musicality (relative pitch perception, entrainment, etc.) with similar capacities in other animal species. Here we extend and clarify this comparative approach with respect to rhythm. First, whereas most comparisons between human music and animal acoustic behavior have focused on spectral properties (melody and harmony), we argue for the central importance of temporal properties, and propose that this domain is ripe for further comparative research. Second, whereas most rhythm research in non-human animals has examined animal timing in isolation, we consider how chorusing dynamics can shape individual timing, as in human music and dance, arguing that group behavior is key to understanding the adaptive functions of rhythm. To illustrate the interdependence between individual and chorusing dynamics, we present a computational model of chorusing agents relating individual call timing with synchronous group behavior. Third, we distinguish and clarify mechanistic and functional explanations of rhythmic phenomena, often conflated in the literature, arguing that this distinction is key for understanding the evolution of musicality. Fourth, we expand biomusicological discussions beyond the species typically considered, providing an overview of chorusing and rhythmic behavior across a broad range of taxa (orthopterans, fireflies, frogs, birds, and primates). Finally, we propose an “Evolving Signal Timing” hypothesis, suggesting that similarities between timing abilities in biological species will be based on comparable chorusing behaviors. We conclude that the comparative study of chorusing species can provide important insights into the adaptive function(s) of rhythmic behavior in our “proto-musical” primate ancestors, and thus inform our understanding of the biology and evolution of rhythm in human music and language

Analysis and Optimization of Deep Counterfactual Value Networks

Recently a strong poker-playing algorithm called DeepStack was published, which is able to find an approximate Nash equilibrium during gameplay by using heuristic values of future states predicted by deep neural networks. This paper analyzes new ways of encoding the inputs and outputs of DeepStack's deep counterfactual value networks based on traditional abstraction techniques, as well as an unabstracted encoding, which was able to increase the network's accuracy.Comment: Long version of publication appearing at KI 2018: The 41st German Conference on Artificial Intelligence (http://dx.doi.org/10.1007/978-3-030-00111-7_26). Corrected typo in titl

Solving Large Extensive-Form Games with Strategy Constraints

Extensive-form games are a common model for multiagent interactions with imperfect information. In two-player zero-sum games, the typical solution concept is a Nash equilibrium over the unconstrained strategy set for each player. In many situations, however, we would like to constrain the set of possible strategies. For example, constraints are a natural way to model limited resources, risk mitigation, safety, consistency with past observations of behavior, or other secondary objectives for an agent. In small games, optimal strategies under linear constraints can be found by solving a linear program; however, state-of-the-art algorithms for solving large games cannot handle general constraints. In this work we introduce a generalized form of Counterfactual Regret Minimization that provably finds optimal strategies under any feasible set of convex constraints. We demonstrate the effectiveness of our algorithm for finding strategies that mitigate risk in security games, and for opponent modeling in poker games when given only partial observations of private information.Comment: Appeared in AAAI 201

Solving Imperfect Information Games Using Decomposition

Decomposition, i.e. independently analyzing possible subgames, has proven to be an essential principle for effective decision-making in perfect information games. However, in imperfect information games, decomposition has proven to be problematic. To date, all proposed techniques for decomposition in imperfect information games have abandoned theoretical guarantees. This work presents the first technique for decomposing an imperfect information game into subgames that can be solved independently, while retaining optimality guarantees on the full-game solution. We can use this technique to construct theoretically justified algorithms that make better use of information available at run-time, overcome memory or disk limitations at run-time, or make a time/space trade-off to overcome memory or disk limitations while solving a game. In particular, we present an algorithm for subgame solving which guarantees performance in the whole game, in contrast to existing methods which may have unbounded error. In addition, we present an offline game solving algorithm, CFR-D, which can produce a Nash equilibrium for a game that is larger than available storage.Comment: 7 pages by 2 columns, 5 figures; April 21 2014 - expand explanations and theor