Search results for "Complete information"
showing 10 items of 24 documents
A Hybrid Agent Model, Mixing Short Term and Long Term Memory Abilities
1999
We present in this paper a novel approach for the modeling of agents able to react and reason under highly dynamic environments. A hybrid agent architecture is described, which allows to integrate the capacity to react rapidly to instantaneous changes in the environment with the capacity to reason more thoroughly about perceptions and actions. These capacities are implemented as independent processes running concurrently, and exploiting different memorizing abilities. Only a short-term memory is made available to reactive agents, whilst long-term memorizing abilities together with the possibility to reason about incomplete information is provided to cognitive agents. This model is currently…
Inventory Control Under Parametric Uncertainty of Underlying Models
2013
A large number of problems in inventory control, production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncertainty of underlying models. In the present paper we consider the case, where it is known that the underlying distribution belongs to a parametric family of distributions. The problem of determining an optimal decision rule in the absence of complete information about the underlying distribution, i.e., when we specify only the functional form of the distribution and leave some or all of its parameters unspecified, is seen to be a standard problem of statistical estimation. Unfortunately, the clas…
Team Theory and Person-by-Person Optimization with Binary Decisions
2012
In this paper, we extend the notion of person-by-person (pbp) optimization to binary decision spaces. The novelty of our approach is the adaptation to a dynamic team context of notions borrowed from the pseudo-boolean optimization field as completely local-global or unimodal functions and submodularity. We also generalize the concept of pbp optimization to the case where groups of $m$ decisions makers make joint decisions sequentially, which we refer to as $m$b$m$ optimization. The main contribution is a description of sufficient conditions, verifiable in polynomial time, under which a pbp or an $m$b$m$ optimization algorithm converges to the team-optimum. As a second contribution, we prese…
Prospect theory and stochastic multicriteria acceptability analysis (SMAA)
2009
Abstract We consider problems where multiple decision makers (DMs) want to choose their most preferred alternative from a finite set based on multiple criteria. Several approaches to support DMs in such problems have been suggested. Prospect theory has appealed to researchers through its descriptive power, but rare attempts have been made to apply it to support multicriteria decision making. The basic idea of prospect theory is that alternatives are evaluated by a difference function in terms of gains and losses with respect to a reference point. The function is suggested to be concave for gains and convex for losses and steeper for losses than for gains. Stochastic multicriteria acceptabil…
Forward Trading and Entry under Incomplete Information
2017
This paper examines the strategic use of forward trading by an incumbent producer who faces potential entry under incomplete information. We show the existence of Bayesian-Nash equilibria in which the incumbent uses forward transactions to deter entry that would have occurred under complete information. Additionally, we find that increasing the frequency of forward trading can raise the volume of pre-entry forward trading and affect the likelihood of entry. Our analysis shows that the incumbent can deter entry with a short position if production cost correlation is low and with a long position if that correlation is high. In the limiting case of continuous trading, these two configurations …
Commitment and strikes in wage bargaining
2000
Abstract This paper analyzes the long-run strategic relationship between a firm and a union as a repeated bargaining game, where there is incomplete information on the player's motivation on both sides and each party has a fall-back position. The firm and the union will engage in a reputation-building activity, that will produce a limited number of strikes over time. The bargainer that succeeds in building up a reputation for toughness and obtains a favorable payoff in the long-run is, either the more patient (or alternatively the more centralized), or the party with a higher initial probability of stubbornness, or the party with a smaller fall-back position. Our model also offers predictio…
Are There Essentially Incomplete Knowledge Representation Systems?
2001
A mathematical model of a knowledge representation system (KR-system) is proposed. Its prototype is the concept of an information system in the sense of Z. Pawlak; however, the model is, in fact, a substantial extension of the latter. In our model, attributes may form an arbitrary category, where morphisms represent built-in functional dependencies, and uncertainty of knowledge is treated in terms of category theory via monads. Several notions of simulation are also considered for such KR-systems. In this general setting, the semiphilosophical problem mentioned in the title, still open, is given a precise meaning.
Strong Quantum Solutions in Conflicting Interest Bayesian Games
2017
Quantum entanglement has been recently demonstrated as a useful resource in conflicting-interest games of incomplete information between two players, Alice and Bob [Pappa et al., Phys. Rev. Lett. 114, 020401 (2015)]. The general setting for such games is that of correlated strategies where the correlation between competing players is established through a trusted common adviser; however, players need not reveal their input to the adviser. So far, the quantum advantage in such games has been revealed in a restricted sense. Given a quantum correlated equilibrium strategy, one of the players can still receive a higher than quantum average payoff with some classically correlated equilibrium str…
A SURVEY ON THE ACOUSTICAL CONDITIONS IN A SPANISH SECONDARY SCHOOL
1992
The present paper reports on a study of the acoustical conditions in a secondary school of Gandia (Spain). Our data include a complete information on noise levels, reverberation times and speech intelligibility of classrooms, together with the results of two social surveys adressed to teachers and students in order to know their attitudes towards this problem.
Soft computing-based aggregation methods for human resource management
2008
Abstract We are interested in the personnel selection problem. We have developed a flexible decision support system to help managers in their decision-making functions. This DSS simulates experts’ evaluations using ordered weighted average (OWA) aggregation operators, which assign different weights to different selection criteria. Moreover, we show an aggregation model based on efficiency analysis to put the candidates into an order.