150,802 research outputs found
The Evolution of Overconfidence
Confidence is an essential ingredient of success in a wide range of domains
ranging from job performance and mental health, to sports, business, and
combat. Some authors have suggested that not just confidence but
overconfidence-believing you are better than you are in reality-is advantageous
because it serves to increase ambition, morale, resolve, persistence, or the
credibility of bluffing, generating a self-fulfilling prophecy in which
exaggerated confidence actually increases the probability of success. However,
overconfidence also leads to faulty assessments, unrealistic expectations, and
hazardous decisions, so it remains a puzzle how such a false belief could
evolve or remain stable in a population of competing strategies that include
accurate, unbiased beliefs. Here, we present an evolutionary model showing
that, counter-intuitively, overconfidence maximizes individual fitness and
populations will tend to become overconfident, as long as benefits from
contested resources are sufficiently large compared to the cost of competition.
In contrast, "rational" unbiased strategies are only stable under limited
conditions. The fact that overconfident populations are evolutionarily stable
in a wide range of environments may help to explain why overconfidence remains
prevalent today, even if it contributes to hubris, market bubbles, financial
collapses, policy failures, disasters, and costly wars.Comment: Supplementary Information include
Generalized strategies in the Minority Game
We show analytically how the fluctuations (i.e. standard deviation) in the
Minority Game (MG) can be made to decrease below the random coin-toss limit if
the agents use more general behavioral strategies. This suppression of the
standard deviation results from a cancellation between the actions of a crowd,
in which agents act collectively and make the same decision, and an anticrowd
in which agents act collectively by making the opposite decision to the crowd.Comment: Revised manuscript: a few minor typos corrected. Results unaffecte
The development of word recognition: The use of the possible-word constraint by 12-month-olds
Structural Properties and Relative Stability of (Meta)Stable Ordered, Partially-ordered and Disordered Al-Li Alloy Phases
We resolve issues that have plagued reliable prediction of relative phase
stability for solid-solutions and compounds. Due to its commercially important
phase diagram, we showcase Al-Li system because historically density-functional
theory (DFT) results show large scatter and limited success in predicting the
structural properties and stability of solid-solutions relative to ordered
compounds. Using recent advances in an optimal basis-set representation of the
topology of electronic charge density (and, hence, atomic size), we present DFT
results that agree reasonably well with all known experimental data for the
structural properties and formation energies of ordered, off-stoichiometric
partially-ordered and disordered alloys, opening the way for reliable study in
complex alloys.Comment: 7 pages, 2 figures, 2 Table
Quantum Algorithm to Solve Satisfiability Problems
A new quantum algorithm is proposed to solve Satisfiability(SAT) problems by
taking advantage of non-unitary transformation in ground state quantum
computer. The energy gap scale of the ground state quantum computer is analyzed
for 3-bit Exact Cover problems. The time cost of this algorithm on general SAT
problems is discussed.Comment: 5 pages, 3 figure
Mixed population Minority Game with generalized strategies
We present a quantitative theory, based on crowd effects, for the market
volatility in a Minority Game played by a mixed population. Below a critical
concentration of generalized strategy players, we find that the volatility in
the crowded regime remains above the random coin-toss value regardless of the
"temperature" controlling strategy use. Our theory yields good agreement with
numerical simulations.Comment: Revtex file + 3 figure
Temperature Dependent Scattering Rates at the Fermi Surface of Optimally Doped Bi 2212
For optimally doped Bi 2212, scattering rates in the normal state are found
to have a linear temperature dependence over most of the Fermi surface. In the
immediate vicinity of the (1,0) point, the scattering rates are nearly constant
in the normal state, consistent with models in which scattering at this point
determines the c-axis transport. In the superconducting state, the scattering
rates away from the nodal direction appear to level off and become
temperature-independent.Comment: published version, 4 pages, 3 eps figures + 1 jpg figur
Coherent control of injection currents in high-quality films of Bi2Se3
Films of the topological insulator Bi2Se3 are grown by molecular beam epitaxy
with in-situ reflection high-energy electron diffraction. The films are shown
to be high-quality by X-ray reflectivity and diffraction and atomic-force
microscopy. Quantum interference control of photocurrents is observed by
excitation with harmonically related pulses and detected by terahertz
radiation. The injection current obeys the expected excitation irradiance
dependence, showing linear dependence on the fundamental pulse irradiance and
square-root irradiance dependence of the frequency-doubled optical pulses. The
injection current also follows a sinusoidal relative-phase dependence between
the two excitation pulses. These results confirm the third-order nonlinear
optical origins of the coherently controlled injection current. Experiments are
compared to a tight-binding band structure to illustrate the possible optical
transitions that occur in creating the injection current.Comment: 11 pages, 3 figure, journal articl
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