MODULAR KNOWLEDGE REPRESENTATION IN ADVISOR AGENTS FOR SITUATION AWARENESS

2011 ◽  
Vol 05 (01) ◽  
pp. 33-53 ◽  
Author(s):  
GIOVANNI PILATO ◽  
AGNESE AUGELLO ◽  
SALVATORE GAGLIO
Keyword(s):  
Knowledge Representation ◽  
Design Process ◽  
Situation Awareness ◽  
Strategic Decision ◽  
Conversational Agent ◽  
Conversational Agents ◽  
Decision Under Uncertainty ◽  
Semantic Computing

A modular knowledge representation framework for conversational agents is presented. The approach has been realized to suit the situation awareness paradigm. The modularity of the framework makes possible the composition of specific modules that deal with particular features, simplifying both the chatbot design process and its smartness. As a proof of concepts we have developed a modular, situation awareness oriented, KB for a conversational agent, which plays the role of an advisor aimed at helping a user to be in charge of a virtual town, inspired to the SimCity series game. The agent makes an extensive use of semantic computing techniques and is able to perceive, comprehend and project consequences of actions in order to handle strategic decision under uncertainty conditions.

scholarly journals A Modular System Oriented to the Design of Versatile Knowledge Bases for Chatbots

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Giovanni Pilato ◽  
Agnese Augello ◽  
Salvatore Gaglio
Keyword(s):  
Corpus Callosum ◽  
Knowledge Representation ◽  
User Behavior ◽  
Knowledge Bases ◽  
Modular System ◽  
Conversational Agent ◽  
Proof Of Concept ◽  
Conversational Agents ◽  
Specific Domain ◽  
Representation Techniques

The paper illustrates a system that implements a framework, which is oriented to the development of a modular knowledge base for a conversational agent. This solution improves the flexibility of intelligent conversational agents in managing conversations. The modularity of the system grants a concurrent and synergic use of different knowledge representation techniques. According to this choice, it is possible to use the most adequate methodology for managing a conversation for a specific domain, taking into account particular features of the dialogue or the user behavior. We illustrate the implementation of a proof-of-concept prototype: a set of modules exploiting different knowledge representation methodologies and capable of managing different conversation features has been developed. Each module is automatically triggered through a component, named corpus callosum, that selects in real time the most adequate chatbot knowledge module to activate.

A brain-based adaptive automation system and situation awareness: The role of complacency potential

2003 ◽  
Author(s):  
Nathan R. Bailey ◽  
Mark W. Scerbo ◽  
Frederick G. Freeman ◽  
Peter J. Mikulka ◽  
Lorissa A. Scott
Keyword(s):  
Situation Awareness ◽  
Automation System ◽  
Adaptive Automation

Designing an Indigenous Voice that empowers: How constitutional recognition could strengthen First Nations sovereignty

2021 ◽  
pp. 1037969X2110096
Author(s):  
Jason O’Neil
Keyword(s):  
First Nations ◽  
Design Process ◽  
Interim Report ◽  
Role Of Government ◽  
Existing Structures ◽  
First Peoples ◽  
Indigenous Voice

This article considers how a First Nations Voice to Parliament, if carefully designed, could strengthen the land-based sovereignty and autonomy of First Peoples in Australia. It critiques the proposals presented in the Indigenous Voice Co-design Process' Interim Report released January 2021 for its emphasis on the role of government and existing structures. It responds to Indigenous critiques of the Uluru Statement from the Heart, while arguing for a constitutionally enshrined Voice to Parliament that respects and defers to First Nations' Country-based authority.

Executives’ Decision Processes at the Front End of Major Projects: The Role of Context and Experience in Value Creation

2020 ◽  
pp. 875697282097722
Author(s):  
Denise Chenger ◽  
Jaana Woiceshyn
Keyword(s):  
Value Creation ◽  
Oil And Gas ◽  
Decision Processes ◽  
Strategic Decision ◽  
Decision Context ◽  
Front End ◽  
Risk Approach ◽  
Multiple Case

The front end of projects is strategically important; yet, how project concepts are identified, evaluated, and selected at the pre-project stage is poorly understood. This article reports on an inductive multiple-case study of how executives made such decisions in major upstream oil and gas projects. The findings show that in such a high-risk context, often an experienced executive makes these decisions alone and he creates value by facilitating growth. We identified three value-creating decision processes that varied by the executives’ risk approach and decision context. These processes depart from the formal project management prescriptions and the strategic decision-making literature.

scholarly journals A MODEL OF CREATIVE HERITAGE FOR INDUSTRY: DESIGNING NEW RULES WHILE PRESERVING THE PRESENT SYSTEM OF RULES

2021 ◽  
Vol 1 ◽  
pp. 141-150
Author(s):  
Honorine Harlé ◽  
Pascal Le Masson ◽  
Benoit Weil
Keyword(s):  
Case Studies ◽  
Design Process ◽  
Industry 4.0 ◽  
Innovation Management ◽  
Present System ◽  
Innovative Capability ◽  
Current Change ◽  
A Site ◽  
Do So

AbstractIn industry, there is at once a strong need for innovation and a need to preserve the existing system of production. Thus, although the literature insists on the necessity of the current change toward Industry 4.0, how to implement it remains problematic because the preservation of the factory is at stake. Moreover, the question of the evolution of the system depends on its innovative capability, but it is difficult to understand how a new rule can be designed and implemented in a factory. This tension between preservation and innovation is often explained in the literature as a process of creative destruction. Looking at the problem from another perspective, this article models the factory as a site of creative heritage, enabling creation within tradition, i.e., creating new rules while preserving the system of rules. Two case studies are presented to illustrate the model. The paper shows that design in the factory relies on the ability to validate solutions. To do so, the design process can explore and give new meaning to the existing rules. The role of innovation management is to choose the degree of revision of the rules and to make it possible.

The Role of Nonmonotonic Representations in Requirements Engineering

1998 ◽  
Vol 08 (03) ◽  
pp. 385-399 ◽  
Author(s):  
Grigoris Antoniou
Keyword(s):  
Software Engineering ◽  
Knowledge Representation ◽  
Requirements Engineering ◽  
Nonmonotonic Reasoning ◽  
Default Reasoning ◽  
Requirements Prioritization ◽  
Evolving System ◽  
System Requirements

This paper discusses the significance of nonmonotonic reasoning, a method from the knowledge representation area, to mainstream software engineering. In particular, we discuss why the use of defaults in specifications is an adequate way of addressing some of the most important problems in requirements engineering, such as: The problem of identifying and dealing with inconsistencies; evolving system requirements; requirements prioritization; and the quality of specifications with respect to naturalness and compactness. We argue that these problems need to be addressed in a principled, formal way, and that default reasoning provides adequate mechanisms to deal with them.

scholarly journals The Utilization of the iOS Platform to Create LearnENT: An Interactive Educational App in Otolaryngology—Head and Neck Surgery

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
S. Kohlert ◽  
N. Scherer ◽  
S. Kherani ◽  
L. McLean
Keyword(s):  
Medical Education ◽  
Medical Students ◽  
Learning Styles ◽  
Head And Neck ◽  
Design Process ◽  
Mobile Apps ◽  
Neck Surgery ◽  
Head And Neck Surgery ◽  
Development Processes

LearnENT, an educational app for iOS, was developed to promote a standardized experience otolaryngology in head and neck surgery (OTOHNS) for University of Ottawa medical students. Its development was grounded in pedagogical theory including Laurillard’s design process, Honey and Mumford’s learning styles, and Nielsen’s theory of usability. This paper examines LearnENT's design and development processes as well as the role of mobile apps in medical education. Features of the LearnENT app as they apply to Constructivist learning are also highlighted.

Role of BIM and energy simulation tools in designing zero-net energy homes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahryar Habibi
Keyword(s):  
Energy Efficiency ◽  
Built Environment ◽  
Design Process ◽  
Simulation Software ◽  
Energy Simulation ◽  
Low Energy ◽  
Net Energy ◽  
Content Type ◽  
Zero Net Energy

Purpose The purpose of this study is to design a zero-energy home, which is known to be capable of balancing its own energy production and consumption close to zero. Development of low-energy homes and zero-net energy houses (ZEHs) is vital to move toward energy efficiency and sustainability in the built environment. To achieve zero or low energy targets in homes, it is essential to use the design process that minimizes the need for active mechanical systems. Design/methodology/approach The methodology discussed in this paper consists of an interfacing building information modeling (BIM) tool and a simulation software to determine the potential influence of phase change materials on designing zero-net energy homes. Findings BIM plays a key role in advancing methods for architects and designers to communicate through a common software platform, analyze energy performance through all stages of the design and construction process and make decisions for improving energy efficiency in the built environment. Originality/value This paper reviews the literature relevant to the role of BIM in helping energy simulation for the performance of residential homes to more advanced levels and in modeling the integrated design process of ZEHs.

Knowledge-Based System supported by Chatbot to assist the Risk Classification Process of Patients in Hospital Emergency care (Preprint)

2021 ◽  
Author(s):  
Marciane Mueller ◽  
Rejane Frozza ◽  
Liane Mählmann Kipper ◽  
Ana Carolina Kessler
Keyword(s):  
Medical Care ◽  
Knowledge Base ◽  
Language Processing ◽  
Emergency Care ◽  
Risk Classification ◽  
Conversational Agent ◽  
Conversational Agents ◽  
Hospital Emergency ◽  
Knowledge Based System ◽  
Knowledge Based

BACKGROUND This article presents the modeling and development of a Knowledge Based System, supported by the use of a virtual conversational agent called Dóris. Using natural language processing resources, Dóris collects the clinical data of patients in care in the context of urgency and hospital emergency. OBJECTIVE The main objective is to validate the use of virtual conversational agents to properly and accurately collect the data necessary to perform the evaluation flowcharts used to classify the degree of urgency of patients and determine the priority for medical care. METHODS The agent's knowledge base was modeled using the rules provided for in the evaluation flowcharts comprised by the Manchester Triage System. It also allows the establishment of a simple, objective and complete communication, through dialogues to assess signs and symptoms that obey the criteria established by a standardized, validated and internationally recognized system. RESULTS Thus, in addition to verifying the applicability of Artificial Intelligence techniques in a complex domain of health care, a tool is presented that helps not only in the perspective of improving organizational processes, but also in improving human relationships, bringing professionals and patients closer. The system's knowledge base was modeled on the IBM Watson platform. CONCLUSIONS The results obtained from simulations carried out by the human specialist allowed us to verify that a knowledge-based system supported by a virtual conversational agent is feasible for the domain of risk classification and priority determination of medical care for patients in the context of emergency care and hospital emergency.

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