20,842 research outputs found
Understanding players' map exploration styles
Copyright 2016 ACM. Exploration is an essential part of play in modern video games. It refers to the discovery-based activities, in which players explore mechanisms, as well as spatiality of virtual world. Exploration games and games with exploration plots are booming in gamer communities. In this paper, we focus on spatial exploration, which is central to play in role-playing games (RPG) and real time strategy (RTS) games. We investigate the game-playing behaviors of human players in exploration games, so as to discover behavior patterns and understand gamer styles. The intention is to contribute to the design and development of believable agents. We conducted an experiment where 25 participants played three types of exploration games. In-game data, think-aloud data, questionnaire responses and post-game interview data were collected to gain a deeper understanding of exploration preferences. We used thematic analysis to analyze data and mapped out four game exploration archetypes: Wanderers, Seers, Pathers and Targeters. An analysis from the four highlight aspects: strategy, reasoning, conception and hesitation, is conducted to investigate the behavioral traits of these four archetypes
A scouting strategy for real-time strategy games
© 2014 ACM. Real-time strategy (RTS) is a sub-genre of strategy video games. RTS games are more realistic with dynamic and time-constraint game playing, by abandoning the turn-based rule of its ancestors. Playing with and against computer-controlled players is a pervasive phenomenon in RTS games, due to the convenience and the preference of groups of players. Hence, better game-playing agents are able to enhance game-playing experience by acting as smart opponents or collaborators. One-way of improving game-playing agents' performance, in terms of their economic-expansion and tactical battlefield-arrangement aspects, is to understand the game environment. Traditional commercial RTS game-playing agents address this issue by directly accessing game maps and extracting strategic features. Since human players are unable to access the same information, this is a form of "cheating AI", which has been known to negatively affect player experiences. Thus, we develop a scouting mechanism for RTS game-playing agents, in order to enable game units to explore game environments automatically in a realistic fashion. Our research is grounded in prior robotic exploration work by which we present a hierarchical multi-criterion decision-making (MCDM) strategy to address the incomplete information problem in RTS settings
Orientation and strain modulated electronic structures in puckered arsenene nanoribbons
Orthorhombic arsenene was recently predicted as an indirect bandgap
semiconductor. Here, we demonstrate that nanostructuring arsenene into
nanoribbons can successfully transform the bandgap to be direct. It is found
that direct bandgaps hold for narrow armchair but wide zigzag nanoribbons,
which is dominated by the competition between the in-plane and out-of-plane
bondings. Moreover, straining the nanoribbons also induces a direct bandgap and
simultaneously modulates effectively the transport property. The gap energy is
largely enhanced by applying tensile strains to the armchair structures. In the
zigzag ones, a tensile strain makes the effective mass of holes much higher
while a compressive strain cause it much lower than that of electrons. Our
results are crutial to understand and engineer the electronic properties of two
dimensional materials beyond the planar ones like graphene
Extended calculations of energy levels, radiative properties, , hyperfine interaction constants, and Land\'e -factors for nitrogen-like \mbox{Ge XXVI}
Employing two state-of-the-art methods, multiconfiguration
Dirac--Hartree--Fock and second-order many-body perturbation theory, highly
accurate calculations are performed for the lowest 272 fine-structure levels
arising from the , , , ~(), (), and ()
configurations in nitrogen-like Ge XXVI. Complete and consistent atomic data,
including excitation energies, lifetimes, wavelengths, hyperfine structures,
Land\'e -factors, and E1, E2, M1, M2 line strengths, oscillator
strengths, and transition rates among these 272 levels are provided.
Comparisons are made between the present two data sets, as well as with other
available experimental and theoretical values. The present data are accurate
enough for identification and deblending of emission lines involving the
levels, and are also useful for modeling and diagnosing fusion plasmas
Dynamics of Neural Networks with Continuous Attractors
We investigate the dynamics of continuous attractor neural networks (CANNs).
Due to the translational invariance of their neuronal interactions, CANNs can
hold a continuous family of stationary states. We systematically explore how
their neutral stability facilitates the tracking performance of a CANN, which
is believed to have wide applications in brain functions. We develop a
perturbative approach that utilizes the dominant movement of the network
stationary states in the state space. We quantify the distortions of the bump
shape during tracking, and study their effects on the tracking performance.
Results are obtained on the maximum speed for a moving stimulus to be
trackable, and the reaction time to catch up an abrupt change in stimulus.Comment: 6 pages, 7 figures with 4 caption
Scaling of the magnetic entropy and magnetization in YbRh_2(Si_{0.95}Ge_{0.05})_2
The magnetic entropy of YbRh_2(Si_{0.95}Ge_{0.05})_2 is derived from
low-temperature ( mK) specific heat measurements. Upon field-tuning
the system to its antiferromagnetic quantum critical point unique temperature
over magnetic field scaling is observed indicating the disintegration of heavy
quasiparticles. The field dependence of the entropy equals the temperature
dependence of the dc-magnetization as expected from the Maxwell relation. This
proves that the quantum-critical fluctuations affect the thermal and magnetic
properties in a consistent way.Comment: 6 pages, 2 figures, manuscript submitted to SCES2004 conferenc
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