Learning dynamic prices in multiseller electronic retail markets with price sensitive customers, stochastic demands, and inventory replenishments

In this paper, we use reinforcement learning (RL) as a tool to study price dynamics in an electronic retail market consisting of two competing sellers, and price sensitive and lead time sensitive customers. Sellers, offering identical products, compete on price to satisfy stochastically arriving demands (customers), and follow standard inventory control and replenishment policies to manage their inventories. In such a generalized setting, RL techniques have not previously been applied. We consider two representative cases: 1) no information case, were none of the sellers has any information about customer queue levels, inventory levels, or prices at the competitors; and 2) partial information case, where every seller has information about the customer queue levels and inventory levels of the competitors. Sellers employ automated pricing agents, or pricebots, which use RL-based pricing algorithms to reset the prices at random intervals based on factors such as number of back orders, inventory levels, and replenishment lead times, with the objective of maximizing discounted cumulative profit. In the no information case, we show that a seller who uses Q-learning outperforms a seller who uses derivative following (DF). In the partial information case, we model the problem as a Markovian game and use actor-critic based RL to learn dynamic prices. We believe our approach to solving these problems is a new and promising way of setting dynamic prices in multiseller environments with stochastic demands, price sensitive customers, and inventory replenishments.

Basic Income Grant in Namibia, a Viewpoint on the Proposal and on the Work of the BIG Coalition

This thesis studies the basic income grant proposal in Namibia. The proposal suggests a monthly grant of N$100 (approximately 10€) to all those Namibian citizens who do not receive the state pension. This thesis concentrates on the Basic Income Grant (BIG) Coalition and on its work. The formation and transformation of the coalition during the time period between 2003 and 2009 is analyzed with the help of data collected during two field work periods in 2008 and 2009. The data includes interviews, newspaper articles, observations and other background material. The analysis of this material is mainly conducted from organizational viewpoint. The final part of the thesis applies the results to the theory of Mosse, whose propositions about policy and practice will be discussed in relation to the basic income grant pilot project. The thesis argues that social legitimacy has been a vital resource for the work of the BIG Coalition and it has sought for it in various ways. The concept of social legitimacy originates from the resource dependence perspective of Pfeffer and Salancik, who propose that organizations are dependent on their environments, and on the resources provided by the surrounding environment. This thesis studies the concept of social legitimacy in the context of resource dependence theory. Social legitimacy is analyzed in the relations between the coalition and its environment, in the formation of the coalition, in the responses towards criticism, and finally in relation to the propositions concerning policy and practice. The work of the coalition in the pilot project will be analyzed through the propositions of Mosse concerning policy and practice. The results will describe and analyze key events in the formation of the BIG Coalition from the South African proposal until the end of the basic income pilot project. This BIG pilot project conducted in 2008-2009 is one of the most well-known activities of the coalition. The clashes between the coalition and its environment will be analyzed through four case studies. It will be shown that the project has been conducted in order to gain more legitimacy to the basic income grant proposal. The conclusion questions the legitimacy of the BIG Coalition as a research and development organization, and requests for more transparent research on the basic income proposal in Namibia.

Patent Price Dynamics in the Context of Patent Age and Patent Latent Variables

The decision to patent a technology is a difficult one to make for the top management of any organization. The expected value that the patent might deliver in the market is an important factor that impacts this judgement. Earlier researchers have suggested that patent prices are better indicators of value of a patent and that auction prices are the best way of determining value. However, the lack of public data on pricing has prevented research on understanding the dynamics of patent pricing. Our paper uses singleton patent auction price data of Ocean Tomo LLC to study the prices of patents. We describe price characteristics of these patents. The price of these patents was correlated with their age, and a significant correlation was found. A price - age matrix was developed and we describe the price characteristics of patents using four quadrants of the matrix, namely young and old patents with low and high prices. We also found that patents owned by small firms get transacted more often and inventor owned patents attracted a better price than assignee owned patents.

Dynamics between patent latent variables and patent price

This paper focuses on studying the relationship between patent latent variables and patent price. From the existing literature, seven patent latent variables, namely age, generality, originality, foreign filings, technology field, forward citations, and backward citations were identified as having an influence on patent value. We used Ocean Tomo's patent auction price data in this study. We transformed the price and the predictor variables (excluding the dummy variables) to its logarithmic value. The OLS estimates revealed that forward citations and foreign filings were positively correlated to price. Both the variables jointly explained 14.79% of the variance in patent pricing. We did not find sufficient evidence to come up with any definite conclusions on the relationship between price and the variables such as age, technology field, generality, backward citations and originality. The Heckman two-stage sample selection model was used to test for selection bias. (C) 2011 Elsevier Ltd. All rights reserved.

The dynamics between forward citations and price of singleton patents

In recent years, business practitioners are seen valuing patents on the basis of the market price that the patent can attract. Researchers have also looked into various patent latent variables and firm variables that influence the price of a patent. Forward citations of a patent are shown to play a role in determining price. Using patent auction price data (of Ocean Tomo now ICAP patent brokerage), we delve deeper into of the role of forward citations. The successfully sold 167 singleton patents form the sample of our study. We found that, it is mainly the right tail of the citation distribution that explains the high prices of the patents falling on the right tail of the price distribution. There is consistency in the literature on the positive correlation between patent prices and forward citations. In this paper, we go deeper to understand this linear relationship through case studies. Case studies of patents with high and low citations are described in this paper to understand why some patents attracted high prices. We look into the role of additional patent latent variables like age, technology discipline, class and breadth of the patent in influencing citations that a patent receives.

The MHP36 line of murine neural stem cells expresses functional CXCR1 chemokine receptors that initiate chemotaxis in vitro.

Chemokines help to establish cerebral inflammation after ischemia, which comprises a major component of secondary brain injury. The CXCR4 chemokine receptor system induces neural stem cell migration, and hence has been implicated in brain repair. We show that CXCR1 and interleukin-8 also stimulate chemotaxis in murine neural stem cells from the MHP36 cell line. The presence of CXCR1 was confirmed by reverse transcriptase PCR and immunohistochemistry. Interleukin-8 evoked intracellular calcium currents, upregulated doublecortin (a protein expressed by migrating neuroblasts), and elicited positive chemotaxis in vitro. Therefore, effectors of the early innate immune response may also influence brain repair mechanisms.

A militarização da Venezuela e o Mercosul

Consultoria Legislativa - Área XIX - Ciência Política, Sociologia Política, História, Relações Internacionais.