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Full-Text Articles in Management Information Systems

Continuous Monitoring Of Enterprise Risks: A Delphi Feasibility Study, Robert Baksa May 2015

Continuous Monitoring Of Enterprise Risks: A Delphi Feasibility Study, Robert Baksa

Dissertations

A constantly evolving regulatory environment, increasing market pressure to improve operations, and rapidly changing business conditions are creating the need for ongoing assurance that organizational risks are continually and adequately mitigated. Enterprises are perpetually exposed to fraud, poor decision making and/or other inefficiencies that can lead to significant financial loss and/or increased levels of operating risk. Increasingly, Information Systems are being harnessed to reinvent the risk management process. One promising technology is Continuous Auditing, which seeks to transform the audit process from periodic reviews of a few transactions to a continuous review of all transactions. However, the highly integrated, rapidly …


Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department, Amr Arisha, Waleed Abo Hamad Jun 2013

Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department, Amr Arisha, Waleed Abo Hamad

Conference papers

This paper presents a case study of an Emergency Department of a public hospital in Dublin, and uses an integrated approach to determine optimal staffing levels to meet the challenges of its dynamic patient demand levels. A comprehensive stochastic model is developed to incorporate patients care pathways and the resources required along their treatment journeys. Analytical Hierarchical Process is utilised to enable decision makers to set their preferences for the facility’s strategic objectives. Evolutionary algorithms are applied to optimise staff schedules. The resulted optimized schedules maintains continuity of care delivery for patients while ensuring a balanced equilibrium among available staff.


Creating Automated Plans For Semantic Web Applications Through Planning As Model Checking, Bonnie Brinton Anderson, James V. Hansen, Paul Benjamin Lowry Jan 2009

Creating Automated Plans For Semantic Web Applications Through Planning As Model Checking, Bonnie Brinton Anderson, James V. Hansen, Paul Benjamin Lowry

Faculty Publications

The uncertainties of planning engendered by nondeterminism and partial observability have led to a melding of model checking and artificial intelligence. The result is planning as model checking. Because planning as model checking tests sets of states and sets of transitions at once, rather than single states, the method remains robust and viable in domains of large state spaces and varying levels of uncertainty.

We develop a test bench for Semantic Web agents and use model-based planning to derive strong plans, strong cyclic plans, and weak plans. Our results suggest potential robustness and efficacy in devising plans for agent actions …


Using Symbolic Knowledge In The Umls To Disambiguate Words In Small Datasets With A Naive Bayes Classifier, Gondy Leroy, Thomas C. Rindflesch Jan 2004

Using Symbolic Knowledge In The Umls To Disambiguate Words In Small Datasets With A Naive Bayes Classifier, Gondy Leroy, Thomas C. Rindflesch

CGU Faculty Publications and Research

Current approaches to word sense disambiguation use and combine various machine-learning techniques. Most refer to characteristics of the ambiguous word and surrounding words and are based on hundreds of examples. Unfortunately, developing large training sets is time-consuming. We investigate the use of symbolic knowledge to augment machine-learning techniques for small datasets. UMLS semantic types assigned to concepts found in the sentence and relationships between these semantic types form the knowledge base. A naïve Bayes classifier was trained for 15 words with 100 examples for each. The most frequent sense of a word served as the baseline. The effect of increasingly …


Auditing, Artificial Intelligence And Expert Systems, Andrew D. Bailey, Rayman D. Meservy, Gordon L. Duke, Paul E. Johnson, William Thompson Jan 1986

Auditing, Artificial Intelligence And Expert Systems, Andrew D. Bailey, Rayman D. Meservy, Gordon L. Duke, Paul E. Johnson, William Thompson

Faculty Publications

This paper will provide the reader with an introduction to the field of financial auditing and the applicability of Decision Support Systems (DSS), Artificial Intelligence (AI), and Expert Systems (ES) to that field of endeavor. The paper will also discuss a continuing research project concerning the application of DSS/AI/ES techniques to the evaluation of internal accounting controls. The reader will find that the evaluation of internal accounting controls is a critical step in every financial audit and that it is an area in which the auditor exhibits substantial expertise. It is thus an area of work particularly suited to the …