134,310 research outputs found
Sociological and Communication-Theoretical Perspectives on the Commercialization of the Sciences
Both self-organization and organization are important for the further
development of the sciences: the two dynamics condition and enable each other.
Commercial and public considerations can interact and "interpenetrate" in
historical organization; different codes of communication are then
"recombined." However, self-organization in the symbolically generalized codes
of communication can be expected to operate at the global level. The Triple
Helix model allows for both a neo-institutional appreciation in terms of
historical networks of university-industry-government relations and a
neo-evolutionary interpretation in terms of three functions: (i) novelty
production, (i) wealth generation, and (iii) political control. Using this
model, one can appreciate both subdynamics. The mutual information in three
dimensions enables us to measure the trade-off between organization and
self-organization as a possible synergy. The question of optimization between
commercial and public interests in the different sciences can thus be made
empirical.Comment: Science & Education (forthcoming
Environmental protection and the generalized system of preferences : a legal and appropriate linkage?
This article will question the legality of measures of environmental ‘conditionality’ in the Generalized System of Preferences [GSP] of the European Community [EC]. The GSP is a GATT/WTO authorized scheme which permits developed nations to grant non-reciprocal tariff preferences in favour of developing countries. The objectives of the GSP are primarily development-oriented in that it aims to increase the export earnings of developing countries, promote their industrialization and accelerate rates of economic growth. A recent case taken in the WTO examined the legal contours of the grant of tariff preferences and it is in the light of this that this article will examine the so-called ‘special incentive arrangements’ of the reformed EC GSP which offers additional tariff preferences to developing countries on the ‘condition’ that they adhere to specified standards of environmental protection
Presynaptic modulation as fast synaptic switching: state-dependent modulation of task performance
Neuromodulatory receptors in presynaptic position have the ability to
suppress synaptic transmission for seconds to minutes when fully engaged. This
effectively alters the synaptic strength of a connection. Much work on
neuromodulation has rested on the assumption that these effects are uniform at
every neuron. However, there is considerable evidence to suggest that
presynaptic regulation may be in effect synapse-specific. This would define a
second "weight modulation" matrix, which reflects presynaptic receptor efficacy
at a given site. Here we explore functional consequences of this hypothesis. By
analyzing and comparing the weight matrices of networks trained on different
aspects of a task, we identify the potential for a low complexity "modulation
matrix", which allows to switch between differently trained subtasks while
retaining general performance characteristics for the task. This means that a
given network can adapt itself to different task demands by regulating its
release of neuromodulators. Specifically, we suggest that (a) a network can
provide optimized responses for related classification tasks without the need
to train entirely separate networks and (b) a network can blend a "memory mode"
which aims at reproducing memorized patterns and a "novelty mode" which aims to
facilitate classification of new patterns. We relate this work to the known
effects of neuromodulators on brain-state dependent processing.Comment: 6 pages, 13 figure
Simple and Near-Optimal Mechanisms For Market Intermediation
A prevalent market structure in the Internet economy consists of buyers and
sellers connected by a platform (such as Amazon or eBay) that acts as an
intermediary and keeps a share of the revenue of each transaction. While the
optimal mechanism that maximizes the intermediary's profit in such a setting
may be quite complicated, the mechanisms observed in reality are generally much
simpler, e.g., applying an affine function to the price of the transaction as
the intermediary's fee. Loertscher and Niedermayer [2007] initiated the study
of such fee-setting mechanisms in two-sided markets, and we continue this
investigation by addressing the question of when an affine fee schedule is
approximately optimal for worst-case seller distribution. On one hand our work
supplies non-trivial sufficient conditions on the buyer side (i.e. linearity of
marginal revenue function, or MHR property of value and value minus cost
distributions) under which an affine fee schedule can obtain a constant
fraction of the intermediary's optimal profit for all seller distributions. On
the other hand we complement our result by showing that proper affine
fee-setting mechanisms (e.g. those used in eBay and Amazon selling plans) are
unable to extract a constant fraction of optimal profit in the worst-case
seller distribution. As subsidiary results we also show there exists a constant
gap between maximum surplus and maximum revenue under the aforementioned
conditions. Most of the mechanisms that we propose are also prior-independent
with respect to the seller, which signifies the practical implications of our
result.Comment: To appear in WINE'14, the 10th conference on Web and Internet
Economic
Consensus-based approach to peer-to-peer electricity markets with product differentiation
With the sustained deployment of distributed generation capacities and the
more proactive role of consumers, power systems and their operation are
drifting away from a conventional top-down hierarchical structure. Electricity
market structures, however, have not yet embraced that evolution. Respecting
the high-dimensional, distributed and dynamic nature of modern power systems
would translate to designing peer-to-peer markets or, at least, to using such
an underlying decentralized structure to enable a bottom-up approach to future
electricity markets. A peer-to-peer market structure based on a Multi-Bilateral
Economic Dispatch (MBED) formulation is introduced, allowing for
multi-bilateral trading with product differentiation, for instance based on
consumer preferences. A Relaxed Consensus+Innovation (RCI) approach is
described to solve the MBED in fully decentralized manner. A set of realistic
case studies and their analysis allow us showing that such peer-to-peer market
structures can effectively yield market outcomes that are different from
centralized market structures and optimal in terms of respecting consumers
preferences while maximizing social welfare. Additionally, the RCI solving
approach allows for a fully decentralized market clearing which converges with
a negligible optimality gap, with a limited amount of information being shared.Comment: Accepted for publication in IEEE Transactions on Power System
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