501,387 research outputs found
The coordination issues of relocations: How proximity still matters in location of software development activities\r\n
The objective of this article is to investigate the dynamics of relocations at the micro-economic level. By proposing a grid of “dynamics of proximities”, we focus on the coordination issues which seem to be missing from most of analyses carried about relocations. We apply our framework to software development activities. The proposition we develop in this paper is the following: mobility, ICT use and modularity reduce the need for geographical proximity and favour relocations but, in order to succeed, relocations need to have the support of organisational and institutional proximities to ensure effective coordination between entities and individuals.relocation, software development, dynamics of proximity, coordination.
The coordination issues of relocations: How proximity still matters in location of software development activities\r\n
The objective of this article is to investigate the dynamics of relocations at the micro-economic level. By proposing a grid of “dynamics of proximities”, we focus on the coordination issues which seem to be missing from most of analyses carried about relocations. We apply our framework to software development activities. The proposition we develop in this paper is the following: mobility, ICT use and modularity reduce the need for geographical proximity and favour relocations but, in order to succeed, relocations need to have the support of organisational and institutional proximities to ensure effective coordination between entities and individuals.relocation, software development, dynamics of proximity, coordination
Metastability of Logit Dynamics for Coordination Games
Logit Dynamics [Blume, Games and Economic Behavior, 1993] are randomized best
response dynamics for strategic games: at every time step a player is selected
uniformly at random and she chooses a new strategy according to a probability
distribution biased toward strategies promising higher payoffs. This process
defines an ergodic Markov chain, over the set of strategy profiles of the game,
whose unique stationary distribution is the long-term equilibrium concept for
the game. However, when the mixing time of the chain is large (e.g.,
exponential in the number of players), the stationary distribution loses its
appeal as equilibrium concept, and the transient phase of the Markov chain
becomes important. It can happen that the chain is "metastable", i.e., on a
time-scale shorter than the mixing time, it stays close to some probability
distribution over the state space, while in a time-scale multiple of the mixing
time it jumps from one distribution to another.
In this paper we give a quantitative definition of "metastable probability
distributions" for a Markov chain and we study the metastability of the logit
dynamics for some classes of coordination games. We first consider a pure
-player coordination game that highlights the distinctive features of our
metastability notion based on distributions. Then, we study coordination games
on the clique without a risk-dominant strategy (which are equivalent to the
well-known Glauber dynamics for the Curie-Weiss model) and coordination games
on a ring (both with and without risk-dominant strategy)
Sensorimotor coordination and metastability in a situated HKB model
Oscillatory phenomena are ubiquitous in nature and have become particularly relevant for the study of brain and behaviour. One of the simplest, yet explanatorily powerful, models of oscillatory Coordination Dynamics is the Haken–Kelso–Bunz (HKB) model. The metastable regime described by the HKB equation has been hypothesised to be the signature of brain oscillatory dynamics underlying sensorimotor coordination. Despite evidence supporting such a hypothesis, to our knowledge, there are still very few models (if any) where the HKB equation generates spatially situated behaviour and, at the same time, has its dynamics modulated by the behaviour it generates (by means of the sensory feedback resulting from body movement). This work presents a computational model where the HKB equation controls an agent performing a simple gradient climbing task and shows (i) how different metastable dynamical patterns in the HKB equation are generated and sustained by the continuous interaction between the agent and its environment; and (ii) how the emergence of functional metastable patterns in the HKB equation – i.e. patterns that generate gradient climbing behaviour – depends not only on the structure of the agent's sensory input but also on the coordinated coupling of the agent's motor–sensory dynamics. This work contributes to Kelso's theoretical framework and also to the understanding of neural oscillations and sensorimotor coordination
Large Fluctuations and Fixation in Evolutionary Games
We study large fluctuations in evolutionary games belonging to the
coordination and anti-coordination classes. The dynamics of these games,
modeling cooperation dilemmas, is characterized by a coexistence fixed point
separating two absorbing states. We are particularly interested in the problem
of fixation that refers to the possibility that a few mutants take over the
entire population. Here, the fixation phenomenon is induced by large
fluctuations and is investigated by a semi-classical WKB
(Wentzel-Kramers-Brillouin) theory generalized to treat stochastic systems
possessing multiple absorbing states. Importantly, this method allows us to
analyze the combined influence of selection and random fluctuations on the
evolutionary dynamics \textit{beyond} the weak selection limit often considered
in previous works. We accurately compute, including pre-exponential factors,
the probability distribution function in the long-lived coexistence state and
the mean fixation time necessary for a few mutants to take over the entire
population in anti-coordination games, and also the fixation probability in the
coordination class. Our analytical results compare excellently with extensive
numerical simulations. Furthermore, we demonstrate that our treatment is
superior to the Fokker-Planck approximation when the selection intensity is
finite.Comment: 17 pages, 10 figures, to appear in JSTA
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