Search results for "Decision process"
showing 10 items of 52 documents
MDP-based Resource Allocation for Uplink Grant-free Transmissions in 5G New Radio
2020
The diversity of application scenarios in 5G mobile communication networks calls for innovative initial access schemes beyond traditional grant-based approaches. As a novel concept for facilitating small packet transmission and achieving ultra-low latency, grant-free communication is attracting lots of interests in the research community and standardization bodies. However, when a network consists of both grant based and grant-free based end devices, how to allocate slot resources properly between these two categories of devices remains as an unanswered question. In this paper, we propose a Markov decision process based scheme which dynamically allocates grant-free resources based on a spec…
Money Invested on Shopping Online and Payment Methods Used: Findings by Recent Survey
2021
Within development of telecommunication, e-commerce is rapidly replacing traditional shopping as well as offering new ways to pay for goods. Payment is one of the main phases of buying decision process and it is crucial to e-commerce, because there is a big possibility that consumer will abandon the shopping cart if preferred payment method is not available. Not only flexible payment options can help company to attract and retain customers, but it also can ensure that company get paid more quickly. The aim of the research is to find out how much money Latvian customers invest when shopping online and which payment methods they use to pay for the purchase on internet in Latvia. Research meth…
A Hybrid Recommender System for Cultural Heritage Promotion
2021
Assisting users during their cultural trips is paramount in promoting the heritage of a territory. Recommender Systems offer the automatic tools to guide users in their decision process, by maximizing the adherence of the proposed contents with the particular preferences of every single user. However, traditional recommendation paradigms suffer from several drawbacks which are exacerbated in Cultural Heritage scenarios, due to the extremely wide range of users behaviors, which may also depend on their different educational backgrounds. In this paper, we propose a Hybrid recommender system which combines the four most common recommendation paradigms, namely collaborative filtering, popularit…
INTACMATO: An IIMT-Prototype
2011
In the previous chapter, we pointed out that although users evaluate IIMT very positively, only a limited number of IIMT are offered. We assume that the main reason for this is that online sellers do not know which IIMT they should offer and what they should exactly look like. We address these two aspects in this chapter. Firstly, we review literature on IDA in the field of human interaction. We discuss several drawbacks of current approaches as well as the resulting requirements for the design of IIMT. Secondly, we break down observed decision-making behavior into typical steps decision makers apply in their decision processes. These steps indicate which IIMT would offer appropriate decisi…
Sensing and Generating New Opportunities for Value Innovation: How Team Behaviour Contributes to Success or to Failure?
2017
The behavioral side of the decision process inherent to strategy is an issue that is gaining attention from both academic and practitioners. At the same time, the Schumpeterian conception of innovation, returns to gain relevance in an environment where technology leads to process dematerialization and exponential paths of change. In this context, this paper analyses which decision processes, cognitive abilities and heuristics lead to sense and generate value innovation for customers. The analysis of 26 master student teams that ran the same strategy simulator show that the consideration and description of a wide range of alternatives and team agreement as a result of discussion of such alte…
Robust Adaptive Modulation and Coding (AMC) selection in LTE systems using reinforcement learning
2014
Adaptive Modulation and Coding (AMC) in LTE networks is commonly employed to improve system throughput by ensuring more reliable transmissions. Most of existing AMC methods select the modulation and coding scheme (MCS) using pre-computed mappings between MCS indexes and channel quality indicator (CQI) feedbacks that are periodically sent by the receivers. However, the effectiveness of this approach heavily depends on the assumed channel model. In addition CQI feedback delays may cause throughput losses. In this paper we design a new AMC scheme that exploits a reinforcement learning algorithm to adjust at run-time the MCS selection rules based on the knowledge of the effect of previous AMC d…
Estimating the environmental and resource costs of leakage in water distribution systems: A shadow price approach.
2016
Water scarcity is one of the main problems faced by many regions in the XXIst century. In this context, the need to reduce leakages from water distribution systems has gained almost universal acceptance. The concept of sustainable economic level of leakage (SELL) has been proposed to internalize the environmental and resource costs within economic level of leakage calculations. However, because these costs are not set by the market, they have not often been calculated. In this paper, the directional-distance function was used to estimate the shadow price of leakages as a proxy of their environmental and resource costs. This is a pioneering approach to the economic valuation of leakage exter…
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
2018
Active inference is an ambitious theory that treats perception, inference and action selection of autonomous agents under the heading of a single principle. It suggests biologically plausible explanations for many cognitive phenomena, including consciousness. In active inference, action selection is driven by an objective function that evaluates possible future actions with respect to current, inferred beliefs about the world. Active inference at its core is independent from extrinsic rewards, resulting in a high level of robustness across e.g.\ different environments or agent morphologies. In the literature, paradigms that share this independence have been summarised under the notion of in…
Probing Public Opinion: the State of Valencia Experience
1997
This paper summarizes the procedures which have been set up during the last years at the Government of the State of Valencia, Spain, to systematically probe its public opinion as an important input into its decision processes.
Stability and Change in Diffusion Model Parameters over Two Years
2021
In recent years, mathematical models of decision making, such as the diffusion model, have been endorsed in individual differences research. These models can disentangle different components of the decision process, like processing speed, speed–accuracy trade-offs, and duration of non-decisional processes. The diffusion model estimates individual parameters of cognitive process components, thus allowing the study of individual differences. These parameters are often assumed to show trait-like properties, that is, within-person stability across tasks and time. However, the assumption of temporal stability has so far been insufficiently investigated. With this work, we explore stability and c…