3,803,179 research outputs found

    Does Information Change Behavior?

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    This paper reviews and synthesizes the theory of information economics and empirical evidence on how information changes the behavior of consumers, households and firms. I show that consumers respond to new information in food experiments but perhaps not in retirement account management. Some seeming perverse consumer/investor decision making may be a result of a complex decision with a low expected payoff.moral hazard; information economics; consumer behavior; behavioral economics; adverse selection

    A Human Information Behavior Approach to a Philosophy of Information

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    This paper outlines the relation between philosophy of information (PI) and human information behavior (HIB). In this paper, we first briefly outline the basic constructs and approaches of PI and HIB. We argue that a strong relation exists between PI and HIB, as both are exploring the concept of information and premise information as a fundamental concept basic to human existence. We then exemplify that a heuristic approach to PI integrates the HIB view of information as a cognitive human- initiated process by presenting a specific cognitive architecture for information initiation based on modular notion from HIB/evolutionary psychology and the vacuum mechanism from PI.published or submitted for publicatio

    Altruistic Behavior Under Incomplete Information

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    Models to the issue of altruism which rely on externalities of well-being are rarely used explicitly. In this paper we compare such utility-based approaches with the standard approach on altruism which is based on externalities of income. Testable differences of both types of models are derived in the case of incomplete information. More specifically, applied to the Dictator Game and the Impunity Game both played under incomplete information, the utility-based based approach predicts dictators to change their behavior in comparison to Dictator Games under complete information. Under the income-based approach, behavior should not differ in the three versions of the Dictator Game. --Altruism,Incomplete Information,Consistent Expectations

    Information dynamics: Temporal behavior of uncertainty measures

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    We carry out a systematic study of uncertainty measures that are generic to dynamical processes of varied origins, provided they induce suitable continuous probability distributions. The major technical tool are the information theory methods and inequalities satisfied by Fisher and Shannon information measures. We focus on a compatibility of these inequalities with the prescribed (deterministic, random or quantum) temporal behavior of pertinent probability densities.Comment: Incorporates cond-mat/0604538, title, abstract changed, text modified, to appear in Cent. Eur. J. Phy

    Using History to Study Information Seeking Behavior

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    has focused on approaches that provide a snapshot in time of what is going on in a household. This poster explores the use of history to examine changes over time in both information questions and information sources used in the prosecution of everyday life activities in America. The study is based on identifying endogenous and exogenous forces to the activity at hand, and seeing how these forces cause change. A secondary question raised in this poster is the largely unexamined belief that the Internet has played an exceptional role in changing the nature of everyday information seeking behavior in America. The case of 100 years of car buying in America is used as a particular example, drawn from a larger study of nine everyday American activities

    Characterization of Vehicle Behavior with Information Theory

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    This work proposes the use of Information Theory for the characterization of vehicles behavior through their velocities. Three public data sets were used: i.Mobile Century data set collected on Highway I-880, near Union City, California; ii.Borl\"ange GPS data set collected in the Swedish city of Borl\"ange; and iii.Beijing taxicabs data set collected in Beijing, China, where each vehicle speed is stored as a time series. The Bandt-Pompe methodology combined with the Complexity-Entropy plane were used to identify different regimes and behaviors. The global velocity is compatible with a correlated noise with f^{-k} Power Spectrum with k >= 0. With this we identify traffic behaviors as, for instance, random velocities (k aprox. 0) when there is congestion, and more correlated velocities (k aprox. 3) in the presence of free traffic flow
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