Retention Contracts under Partial Information Electoral Competition Case Study

أغسطس 01, 2022

zina houhamdi Belkacem Athamena Ghaleb El Refae

This study copes with a class of principal-agent problems where information asymmetry represents an important characteristic. The paper examines the relationship between the principal and agents. The principal has to perform two agents’ screening and discipline tasks. To complete his duties, the principal lacks complete information concerning the agents’ behavior and rarely has partial information regarding the failure or success of launched tactics, alliances, rationalization, etc. We analyze the type of retention contracts (implicit) used by the principal to replace or retain agents. Consistent with literature findings, we demonstrated that agents could be extremely active in showing their competencies; the relationship between dismissal and bad performance is invalid; and occasionally, the principal dismisses qualified agents. Then we determined the rules under which electorates urge political parties to acquire information and choose optimal policies from the voter’s viewpoint.

Retention contracts with asymmetric information: optimistic approach vs pessimistic approach

أغسطس 01, 2022

Belkacem Athamena zina houhamdi Ghaleb El Refae

Purpose: This paper aims to focus on the utilization of retention contracts to screen and discipline managers in a context in which the council, board of directors, possesses incomplete information about the consequences of managers’ decisions. The analysis enlightens us on empire building, on the slight connection between achievement and firing, and describes concerns about the belief that low achievements result from bad managers. Design/methodology/approach: This paper analyzes a basic model to show the resulting dilemmas. The desire to screen managers to enhance the organization's future well-being motivates managers to show their credentials by becoming excessively active. The council can address this bias by firing a manager whose project is proven to ruin value. Moreover, the council can replace the manager if he has implemented a project but its outcomes remain unobservable. Both decisions decrease the attraction to develop loss-generating projects. However, the dismissing decision on either ground will affect the council deduction that the expected competence of the incoming manager is lower than that of the dismissed manager. Findings: This study shows in which situation the selection option is preferred over the disciplining option using two different retention contracts: optimistic contract and pessimistic contract. Originality/value: This study shows in which situation the selection option is preferred over the disciplining option using two different retention contracts: optimistic contract and pessimistic contract.

Formal Approach to Data Accuracy Evaluation

يونيو 01, 2022

Belkacem Athamena zina houhamdi

Usually, data quality is defined by multiple attributes that allow classifying the output data (such as completeness, freshness, and accuracy) or the methods exploiting these data (such as dependability, performance, and protection). Among the suggested quality attributes, we will discuss one of the principal categories: data accuracy. Scientific experiments, decision–making, and data retrieval are examples of situations that require a formal evaluation approach to data accuracy. The evaluation approach should be adaptable to distinct understandings of data accuracy and distinct end-user expectations. This study investigates data accuracy and defines dimensions and metrics that affect its evaluation. The investigation of data accuracy generates problems in the user expectation specification and database quality models. This work describes our proposed approach for data accuracy evaluation by defining an evaluation algorithm that considers the distribution of inaccuracies in database relations. The approach decomposes the query output in accordance with data accuracy, labels every part with its accuracy value, and addresses the possibility of enforcing data accuracy by using these values. This study mainly contributes by proposing an explicit evaluation of quality attributes of data accuracy, a formal evaluation approach to data accuracy, and suggesting some improvement actions to reinforce data accuracy. © 2022 Slovene Society Informatika. All rights reserved.

Multi-agents collaboration in open system

ديسمبر 01, 2021

zina houhamdi Belkacem Athamena

Managing asymmetric information effects in decision making: Task complexity-based model

أكتوبر 01, 2020

Belkacem Athamena zina houhamdi Ghaleb El Refae

This paper proposes a formal model to manage the impact of asymmetric information in decision-making by using principal-agent problems in which an agent (who has incomplete information) must decide to perform or not perform a task on behalf of the principal. After performing a complex (simple) task, the agent underrates (overrates) his competence. As a consequence of underestimation, a competent agent may decide to stop performing the task henceforth. The agent infers his competence from his productivity on a performed task. However, the productivity depends on both the agent's competence and the task complexity. To avoid this situation, the company appoints a mentor (fully informed superior agent) who can determine the task complexity and assess the agent's competence. Accordingly, the mentor matches the task complexity perfectly with the agent's competence. In cases where the mentor and the junior have different preferences, the mentor may not confess all information to the agent. Nevertheless, the mentor desires the agent to fulfill the task. This paper proposes a solution for all of these situations by using a mathematical model. The model assesses the agent's competence based on his productivity and the mentor's appraisal and assists the agent in making the right decision.

Identity Identification and Management in the Internet of Things

أغسطس 01, 2020

zina houhamdi Belkacem Athamena

Henceforth, users agreed on the necessity of continuous Internet connection independently of the place, the manner, and the time. Nowadays, several elite services are accessible by people over the Internet of Things (IoT), which is a heterogeneous network defined by machine-to-machine communication. Despite the fact that the devices are used to establish the communication, the users can be considered as the actual producers of input data and consumers of the output data. Consequently, the users should be viewed as a smart object in IoT; therefore, user identification, authentication, authorization are required. However, the user identification process is too complicated because the users are worried to share their confidential and private data. on the other hand, this private data should be used by some of their devices. Accordingly, an equitable mechanism to identify users and manage their identities is necessary. In addition, the user plays an extreme important role in the establishment of rules needed for identity identification and in ensuring the continuity of receptive services.The main purpose of this paper is to develop a new framework for Identity Management System (IdMS) for IoT. The primary contributions of this paper are: the proposition of a device recognition algorithm for user identification, the proposition of a new format for the identifier, and a theoretical framework for IdMS.

Identity Management System Model in the Internet of Things

مايو 01, 2020

Belkacem Athamena zina houhamdi

This paper describes the identity management system (IdMS) by defining system and user requirements. Additionally, it introduces the IdMS concept that approaches the things identity management. Moreover, the paper deeply describes the IdMS features using unified modelling language (UML) diagrams such as class, system, and sequence diagrams to show the main system functionalities. Ultimately, the suggested system is evaluated by comparing it with the existing systems and discussing the fulfilment of user and system requirements.

Managing Asymmetric Information Effects in Decision-Making Productivity-Based Model

أبريل 01, 2020

zina houhamdi Belkacem Athamena Ghaleb El Refae

A Multi-Agent System for Course Timetable Generation

مارس 01, 2019

zina houhamdi Belkacem Athamena

Impacts of information quality on decision-making

يناير 01, 2019

zina houhamdi Belkacem Athamena

An Exception Management Model in Multi-Agents Systems

مارس 01, 2017

Belkacem Athamena zina houhamdi

Data freshness evaluation in data integration systems

أبريل 01, 2016

zina houhamdi Belkacem Athamena

INFORMATION QUALITY FRAMEWORK

سبتمبر 01, 2015

zina houhamdi Belkacem Athamena

Particle swarm optimization of an extended Kalman filter for speed and rotor flux estimation of an induction motor drive

يونيو 01, 2015

Belkacem Athamena

A Petri Net Based Multi-Agent System Behavioral Testing

مارس 01, 2012

Belkacem Athamena zina houhamdi

Structured Acceptance Test Suite Generation Process for Multi-Agent System

يناير 01, 2012

Belkacem Athamena zina houhamdi

Structured integration test suite generation process for multi-agent system

مايو 01, 2011

zina houhamdi Belkacem Athamena

Structured system test suite generation process for multi-agent system

أبريل 01, 2011

zina houhamdi Belkacem Athamena

From graphical user interface to domain class diagram: a reverse engineering approach

فبراير 15, 2011

Belkacem Athamena

Fault detection and isolation in dynamic systems using statistical local approach and hybrid least squares algorithm

ديسمبر 01, 2007

Belkacem Athamena

Fault detection and isolation using hybrid parameter estimation and fuzzy logic residual evaluation

فبراير 11, 2002

Belkacem Athamena