On Evolution of God-Seeking Mind: An Inquiry Into Why Natural Selection Would Favor Imagination and Distortion of Sensory Experience

The earliest known products of human imagination appear to express a primordial concern and struggle with thoughts of dying and of death and mortality. I argue that the structures and processes of imagination evolved in that struggle, in response to debilitating anxieties and fearful states that would accompany an incipient awareness of mortality. Imagination evolved to find that which would make the nascent apprehension of death more bearable, to engage in a search for alternative perceptions of death: a search that was beyond the capability of the external senses. I argue that imagination evolved as flight and fight adaptations in response to debilitating fears that paralleled an emerging foreknowledge of death. Imagination, and symbolic language to express its perceptions, would eventually lead to religious behavior and the development of cultural supports. Although highly speculative, my argument draws on recent brain studies, and on anthropology, psychology, and linguistics

CTA in the Context of Searches for Particle Dark Matter - a glimpse

In this contribution, CTAs potential role in detection of particle dark matter in the context of other detection approaches is briefly discussed for an audience of gamma-ray astronomers. In particular searches for new particles at the large hadron collider and detection of dark matter particles in deep underground detectors are considered. We will focus on Weakly Interacting Massive Particles (WIMP). Approaches will be compared in terms of (a) robustness of sensitivity predictions, (b) timeline and (c) reach. The estimate of the reach will be model-dependent. Given our ignorance about the nature of dark matter, and the complementarity of detection techniques even within a given framework (e.g. Supersymmetry), the trivial conclusion is that we might need all approaches and the most sensitive experiments. Our discussion will be somewhat more restrictive in order to be able to be more concrete. With the caveat of incompleteness, under the assumption that the WIMP paradigm describes nature, CTA is more likely to discover multi-TeV WIMP dark matter, whereas for lower masses direct detection and LHC has significantly better prospects. We will illustrate this conclusion with examples from foremost Supersymmetry, but mention effective field theory or simplified models. We will comment on a few models predicting high mass WIMPs, in particular 1 TeV higgsino and wino WIMPs, as well as Minimal Dark Matter and point out the relevance of updated measurements of the anomalous magnetic moment of the muon for CTAs role in searches for Supersymmetry.Comment: Invited contribution to 6th International Symposium on High-Energy Gamma-ray Astronomy (Gamma2016). 9 pages, 5 figure

A Year Without a Winter Edited by Dehlia Hannah

Book Review of editor Dehliah Hannah\u27s A Year Without a Winte

Speculations on a privileged state of cognitive dissonance

This paper examines two commonly held and conflicting cognitions in the modern world, each based on a belief vital to the individual's sense of self, both maintained in what is here considered as a chronic state of dissonance. This psychological inconsistency consists of an inherent practical belief in the goodness of empirical knowledge and a culturally-developed transcendent belief denying, or at least mitigating, empirical evidence about the finite nature of individual life and affirming a counter-empirical belief in supernatural: supra-cause-and-effect forces that influence life. I argue that since both beliefs are highly resistant to change, they lead to an impasse that individuals in diverse cultures have borne and been motivated to maintain. They have borne it, as I hope to show, because the consonant “cure” has proved to be more discomforting than the dissonant condition. \ud \u

Statistical Issues in Astrophysical Searches for Particle Dark Matter

In this review statistical issues appearing in astrophysical searches for particle dark matter, i.e. indirect detection (dark matter annihilating into standard model particles) or direct detection (dark matter particles scattering in deep underground detectors) are discussed. One particular aspect of these searches is the presence of very large uncertainties in nuisance parameters (astrophysical factors) that are degenerate with parameters of interest (mass and annihilation/decay cross sections for the particles). The likelihood approach has become the most powerful tool, offering at least one well motivated method for incorporation of nuisance parameters and increasing the sensitivity of experiments by allowing a combination of targets superior to the more traditional data stacking. Other statistical challenges appearing in astrophysical searches are to large extent similar to any new physics search, for example at colliders, a prime example being the calculation of trial factors. Frequentist methods prevail for hypothesis testing and interval estimation, Bayesian methods are used for assessment of nuisance parameters and parameter estimation in complex parameter spaces. The basic statistical concepts will be exposed, illustrated with concrete examples from experimental searches and caveats will be pointed out.Comment: Invited review, 38 pages, 9 figures, refereed version to match publicatio

A Spatial Agent-Based Model of N-Person Prisoner's Dilemma Cooperation in a Socio-Geographic Community

The purpose of this paper is to present a spatial agent-based model of N-person prisoner's dilemma that is designed to simulate the collective communication and cooperation within a socio-geographic community. Based on a tight coupling of REPAST and a vector Geographic Information System, the model simulates the emergence of cooperation from the mobility behaviors and interaction strategies of citizen agents. To approximate human behavior, the agents are set as stochastic learning automata with Pavlovian personalities and attitudes. A review of the theory of the standard prisoner's dilemma, the iterated prisoner's dilemma, and the N-person prisoner's dilemma is given as well as an overview of the generic architecture of the agent-based model. The capabilities of the spatial N-person prisoner's dilemma component are demonstrated with several scenario simulation runs for varied initial cooperation percentages and mobility dynamics. Experimental results revealed that agent mobility and context preservation bring qualitatively different effects to the evolution of cooperative behavior in an analyzed spatial environment.Agent Based Modeling, Cooperation, Prisoners Dilemma, Spatial Interaction Model, Spatially Structured Social Dilemma, Geographic Information Systems