Democracy under uncertainty: The ‘wisdom of crowds’ and the free-rider problem in group decision making

We introduce a game theory model of individual decisions to cooperate by contributing personal resources to group decisions versus by free-riding on the contributions of other members. In contrast to most public-goods games that assume group returns are linear in individual contributions, the present model assumes decreasing marginal group production as a function of aggregate individual contributions. This diminishing marginal returns assumption is more realistic and generates starkly different predictions compared to the linear model. One important implication is that, under most conditions, there exist equilibria where some, but not all members of a group contribute, even with completely self-interested motives. An agent-based simulation confirms the individual and group advantages of the equilibria in which behavioral asymmetry emerges from a game structure that is a priori perfectly symmetric for all agents (all agents have the same payoff function and action space, but take different actions in equilibria). And a behavioral experiment demonstrates that cooperators and free-riders coexist in a stable manner in groups performing with the non-linear production function. A collateral result demonstrates that, compared to a ―dictatorial‖ decision scheme guided by the best member in a group, the majority-plurality decision rules can pool information effectively and produce greater individual net welfare at equilibrium, even if free-riding is not sanctioned. This is an original proof that cooperation in ad hoc decision-making groups can be understood in terms of self-interested motivations and that, despite the free-rider problem, majority-plurality decision rules can function robustly as simple, efficient social decision heuristics.group decision making under uncertainty, free-rider problem, majority-plurality rules, marginally-diminishing group returns, evolutionary games, behavioral experiment

Low-power FM transmitter for use in neural recording applications

Journal ArticleWe present a low power FM transmitter for use in neural recording telemetry. The transmitter consists of a low noise biopotential amplifier and a voltage controlled oscillator used to transmit the amplified neural signals at a frequency of 433 MHz. The circuit is powered through a transcutaneous, inductive link. The power consumption of the transmitter is measured to be 465 μW. Using a 1/8-wavelength monopole antenna, a received power level was measured to be -54.5 dBm at a distance of one meter

Data Interoperability and Information Security in Healthcare

Interoperability represents the accurate exchange of information and the use of the information for effective decision making. For information exchange to be interoperable, it must be widely interpretable between multiple information systems. At a more granular level, it focuses on the accuracy, consistency and reliability of information exchanged between systems. The healthcare industry has defined many problems when it comes to the best practice of interoperability. Technical, financial, and managerial barriers are present that produce large scale complex problems for the whole industry. Although, a variety of potential solutions have been developed. Some have even been implemented already focusing on semantics, standardization, patient privacy and security. The private and government sectors of the economy have produced new legal and economic incentives, product innovations, along with widely available educational resources that have shown success. Overall improvements will increase quality of care, patient safety, and decrease associated costs across the entire healthcare industry

Extremal Transitions and Five-Dimensional Supersymmetric Field Theories

We study five-dimensional supersymmetric field theories with one-dimensional Coulomb branch. We extend a previous analysis which led to non-trivial fixed points with $E_n$ symmetry ($E_8$, $E_7$, $E_6$, $E_5=Spin(10)$, $E_4=SU(5)$, $E_3=SU(3)\times SU(2)$, $E_2=SU(2)\times U(1)$ and $E_1=SU(2)$) by finding two new theories: $\tilde E_1$ with $U(1)$ symmetry and $E_0$ with no symmetry. The latter is a non-trivial theory with no relevant operators preserving the super-Poincar\'e symmetry. In terms of string theory these new field theories enable us to describe compactifications of the type I' theory on $S^1/Z_2$ with 16, 17 or 18 background D8-branes. These theories also play a crucial role in compactifications of M-theory on Calabi--Yau spaces, providing physical models for the contractions of del Pezzo surfaces to points (thereby completing the classification of singularities which can occur at codimension one in K\"ahler moduli). The structure of the Higgs branch yields a prediction which unifies the known mathematical facts about del Pezzo transitions in a quite remarkable way.Comment: 21 pages, 3 figures, minor change to appendi

Automatically Neutralizing Subjective Bias in Text

Texts like news, encyclopedias, and some social media strive for objectivity. Yet bias in the form of inappropriate subjectivity - introducing attitudes via framing, presupposing truth, and casting doubt - remains ubiquitous. This kind of bias erodes our collective trust and fuels social conflict. To address this issue, we introduce a novel testbed for natural language generation: automatically bringing inappropriately subjective text into a neutral point of view ("neutralizing" biased text). We also offer the first parallel corpus of biased language. The corpus contains 180,000 sentence pairs and originates from Wikipedia edits that removed various framings, presuppositions, and attitudes from biased sentences. Last, we propose two strong encoder-decoder baselines for the task. A straightforward yet opaque CONCURRENT system uses a BERT encoder to identify subjective words as part of the generation process. An interpretable and controllable MODULAR algorithm separates these steps, using (1) a BERT-based classifier to identify problematic words and (2) a novel join embedding through which the classifier can edit the hidden states of the encoder. Large-scale human evaluation across four domains (encyclopedias, news headlines, books, and political speeches) suggests that these algorithms are a first step towards the automatic identification and reduction of bias.Comment: To appear at AAAI 202

Valve-Pairing and Stratigraphic Integrity in Coastal Midden Deposits: A Preliminary Study from the Seven Mile Creek Mound, Central Queensland

Conjoin analyses of stone artefacts have been employed to assess the stratigraphic integrity of rockshelter deposits in Australia. Paradoxically, no comparable studies are available for open coastal midden sites despite frequent reference to this site type as stratigraphically problematic. In this paper we present preliminary results of a conjoin (or valve-pairing) analysis of the bivalve Anadara trapezia (mud ark or Sydney cockle) excavated from the Seven Mile Creek Mound in central Queensland. Attributes for identifying probable conjoins were established through a study of 158 articulated A. trapezia specimens recovered from the Seven Mile Creek Mound. We demonstrate that although articulated A. trapezia exhibit considerable valve dimorphism, umbo length and weight reliably reduced the field of probable conjoins which can then be manually refitted for confirmation. A total of 56 conjoining valve-pairs were identified out of a total of 608 whole A. trapezia valves

Can Collegiate Hockey Players Accurately Predict Regional and Total Body Physiologic Changes throughout the Competitive Season?

A collegiate athlete’s body composition can fluctuate due to factors such as nutrition, sleep, and training load. As changes in body composition can affect an athlete’s level of performance, it may be beneficial if athlete’s can accurately predict these changes throughout a season. The purpose of this study was to determine how well a group of 23 male collegiate hockey players (age = 22.44 ± 1.16 years, height = 181.30 ± 6.99 cm, weight = 86.41 ± 8.32 kg) could predict their regional and total body lean and fat tissue mass throughout a hockey season (September to March). Total body, trunk, lower body, and upper body compositional changes were measured at the beginning and at the end of the competitive season using dual energy X-Ray absorptiometry (DXA). At the end of the season, a questionnaire was completed by each participant to explore how they perceived their body composition changes (losses or gains in lean tissue and fat mass) throughout the season. Overall, players had a difficult time identifying actual changes in lean tissue and fat mass throughout the season. Upper body fat and lean tissue changes were perceived most accurately, while perceptions of body fat were related to android adiposity but not visceral adiposity. These findings suggest that some regional areas of body composition changes may happen without being noticed. For strength and conditioning coaches, if athletes are made aware of these changes before they become exaggerated, proper dietary, and training adaptations can be made to enhance performance