Formal Development of Reactive Agent-Based Systems

2011 ◽  
pp. 1555-1558
Author(s):  
P. Kefalas ◽  
M. Holcombe ◽  
G. Eleftherakis ◽  
M. Gheorghe
Keyword(s):  
Environmental Changes ◽  
System Development ◽  
Reactive System ◽  
Agent Based ◽  
Agent Model ◽  
Engineering Research ◽  
Autonomous Action ◽  
Internal States ◽  
Basic Parameters ◽  
Software Engineering Research

Recent advances in both the testing and verification of software based on formal specifications have reached a point where the ideas can be applied in a powerful way in the design of agent-based systems. The software engineering research has highlighted a number of important issues: the importance of the type of modelling technique used; the careful design of the model to enable powerful testing techniques to be used; the automated verification of the behavioural properties of the system; and the need to provide a mechanism for translating the formal models into executable software in a simple and transparent way. An agent is an encapsulated computer system that is situated in some environment and that is capable of flexible, autonomous action in that environment in order to meet its design objectives (Jennings, 2000). There are two fundamental concepts associated with any dynamic or reactive system (Holcombe & Ipate, 1998): the environment, which could be precisely or ill-specified or even completely unknown and the agent that will be responding to environmental changes by changing its basic parameters and possibly affecting the environment as well. Agents, as highly dynamic systems, are concerned with three essential factors: a set of appropriate environmental stimuli or inputs, a set of internal states of the agent, and a rule that relates the two above and determines what the agent state will change to if a particular input arrives while the agent is in a particular state. One of the challenges that emerges in intelligent agent engineering is to develop agent models and agent implementations that are “correct.” The criteria for “correctness” are (Ipate & Holcombe, 1998): the initial agent model should match the requirements, the agent model should satisfy any necessary properties in order to meet its design objectives, and the implementation should pass all tests constructed using a complete functional test-generation method. All the above criteria are closely related to stages of agent system development, i.e., modelling, validation, verification, and testing.

A Formal Method for the Development of Agent-Based Systems

2011 ◽  
pp. 68-98 ◽  
Author(s):  
P. Kefalas ◽  
M. Holcombe ◽  
G. Eleftherakis ◽  
M. Gheorghe
Keyword(s):  
Software Engineering ◽  
Formal Method ◽  
Software Systems ◽  
Formal Specifications ◽  
Modular Construction ◽  
Machine Method ◽  
Agent Based ◽  
Agent Model ◽  
Engineering Research ◽  
Software Engineering Research

Recent advances in testing and verification of software based on formal specifications of the system to be built have reached a point where the ideas can be applied in a powerful way in the design of agent-based systems. The software engineering research has highlighted a number of important issues: the importance of the type of modeling technique used; the careful design of the model to enable powerful testing techniques to be used; the automated verification of the behavioral properties of the system; and the need to provide a mechanism for translating the formal models into executable software in a simple and transparent way. This chapter presents a detailed and comprehensive account of the ways in which some modern software engineering research can be applied to the construction of effective and reliable agent-based software systems. More specifically, we intend to show how simple agents motivated from biology can be modeled as X-machines. Such modeling will facilitate verification and testing of an agent model, because appropriate strategies for model checking and testing are already developed around the X-machine method. In addition, modular construction of agent models is feasible, because X-machines are provided with communicating features, which allow simple models to interact.

Formal Development of Reactive Agent-Based Systems

2005 ◽  
pp. 1201-1204
Author(s):  
P. Kefalas ◽  
M. Holcombe ◽  
G. Eleftherakis ◽  
M. Gheorghe
Keyword(s):  
Software Engineering ◽  
Modelling Technique ◽  
Automated Verification ◽  
Formal Specifications ◽  
Formal Models ◽  
Agent Based ◽  
Engineering Research ◽  
Testing Techniques ◽  
Software Engineering Research ◽  
Careful Design

Recent advances in both the testing and verification of software based on formal specifications have reached a point where the ideas can be applied in a powerful way in the design of agent-based systems. The software engineering research has highlighted a number of important issues: the importance of the type of modelling technique used; the careful design of the model to enable powerful testing techniques to be used; the automated verification of the behavioural properties of the system; and the need to provide a mechanism for translating the formal models into executable software in a simple and transparent way.

A report on 1st Software Engineering Research in India Update Meeting (SERI 2019)

2019 ◽  
Vol 44 (3) ◽  
pp. 41-42
Author(s):  
Sai Anirudh Karre ◽  
Lalit Mohan ◽  
Y. Raghu Raghu Reddy ◽  
K.V. Raghavan ◽  
R.D. Naik ◽  
...  
Keyword(s):  
Software Engineering ◽  
Engineering Research ◽  
Software Engineering Research

scholarly journals UML Diagrams in Software Engineering Research: A Systematic Literature Review

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 13
Author(s):  
Hatice Koç ◽  
Ali Mert Erdoğan ◽  
Yousef Barjakly ◽  
Serhat Peker
Keyword(s):  
Software Engineering ◽  
Object Oriented ◽  
Modelling Language ◽  
Design Models ◽  
Engineering Research ◽  
Object Oriented Design ◽  
Unified Modelling Language ◽  
Visual Models ◽  
Uml Diagrams ◽  
Software Engineering Research

Software engineering is a discipline utilizing Unified Modelling Language (UML) diagrams, which are accepted as a standard to depict object-oriented design models. UML diagrams make it easier to identify the requirements and scopes of systems and applications by providing visual models. In this manner, this study aims to systematically review the literature on UML diagram utilization in software engineering research. A comprehensive review was conducted over the last two decades, spanning from 2000 to 2019. Among several papers, 128 were selected and examined. The main findings showed that UML diagrams were mostly used for the purpose of design and modeling, and class diagrams were the most commonly used ones.

scholarly journals A Novel Multi-Agent Model for Robustness with Component Failure and Malware Propagation in Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4873
Author(s):  
Biao Xu ◽  
Minyan Lu ◽  
Hong Zhang ◽  
Cong Pan
Keyword(s):  
Wireless Sensor ◽  
Component Reliability ◽  
Agent Based ◽  
Agent Model ◽  
Cross Domain ◽  
Malware Propagation ◽  
Network Topologies ◽  
Multi Agent ◽  
Agent Characteristics ◽  
Information Domain

A wireless sensor network (WSN) is a group of sensors connected with a wireless communications infrastructure designed to monitor and send collected data to the primary server. The WSN is the cornerstone of the Internet of Things (IoT) and Industry 4.0. Robustness is an essential characteristic of WSN that enables reliable functionalities to end customers. However, existing approaches primarily focus on component reliability and malware propagation, while the robustness and security of cascading failures between the physical domain and the information domain are usually ignored. This paper proposes a cross-domain agent-based model to analyze the connectivity robustness of a system in the malware propagation process. The agent characteristics and transition rules are also described in detail. To verify the practicality of the model, three scenarios based on different network topologies are proposed. Finally, the robustness of the scenarios and the topologies are discussed.

scholarly journals MARKET STATISTICS OF A PSYCHOLOGY-BASED HETEROGENEOUS AGENT MODEL

2008 ◽  
Vol 11 (07) ◽  
pp. 717-737 ◽  
Author(s):  
HARBIR LAMBA ◽  
TIM SEAMAN
Keyword(s):  
Heterogeneous Agent ◽  
Agent Based ◽  
Agent Model ◽  
Fundamental Parameters ◽  
Market Participants ◽  
Information Stream ◽  
Momentum Trading ◽  
Real Market ◽  
Available Information ◽  
Parameter Values

We continue an investigation into a class of agent-based market models that are motivated by a psychologically-plausible form of bounded rationality. Some of the agents in an otherwise efficient hypothetical market are endowed with differing tolerances to the tension caused by being in the minority. This herding tendency may be due to purely psychological effects, momentum-trading strategies, or the rational response to perverse marketplace incentives. The resulting model has the important properties of being both very simple and insensitive to its small number of fundamental parameters. While it is most certainly a caricature market, with only boundedly rational traders and the globally available information stream being modeled directly, other market participants and effects are indirectly replicated. We show that all of the most important "stylized facts" of real market statistics are reproduced by this model. Another useful aspect of the model is that, for certain parameter values, it reduces to a standard efficient-market system. This allows us to isolate and observe the effects of particular kinds of non-rationality. To this end, we consider the effects of different asymmetries in agent behavior and show that one in particular leads to skew statistics consistent with those seen in some real financial markets.

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