The Belief-Desire-Intention Architecture of Sincere Software Agent Environment

Software agent is autonomous technology that helps a lot the human being in performing the task. The capability of agent to take actions on behalf of human is one of the reasons why researchers or developers of autonomous systems adapt the human characteristics either in the form of physical or behaviours. Sincerity is one of ethical human behaviour that can be instilled in software agent environment system. To instil the ethical behaviour such as sincerity, the belief-desire-intention (BDI) architecture should be designed. This paper explains the BDI architecture for sincere software agent environment system during performing task.

Development of a Method for Building a Trusted Environment by Using Hidden Software Agent Steganography

For more than a decade, the scientific community has been developing various models of insider actions in the trusted-zone information system and methods for identifying such. All those years, they have been facing the challenge of finding quality data samples for analysis and testing, and it is the availability of reliable data on the attack that is crucial for any research or detection of attempts to steal or compromise legal software. Unfortunately, collection of such samples remains nearly impossible despite some attempts to do so. Any data on incidents is either incomplete or inaccurate, or is not available at all. Software developers also face lack of resources, including time. Developers do not have enough time, funding, material resources, or qualifications to make a sturdy security system, which is why they need to use third-party automations that dock a security module to the compiled program. The strength of this approach is that such a system can be embedded in any software, whereas the weakness is that the method is "one-size-fits-all". Standard protections span across multiple programs, which results in a higher chance of being hacked.

Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents

This paper presents ARTEMIS, a control system for autonomous robots or software agents. ARTEMIS can create human-like artificial emotions during interactions with their environment. We describe the underlying mechanisms for this. The control system also captures its past artificial emotions. A specific interpretation of a knowledge graph, called an Agent Knowledge Graph, stores these artificial emotions. ARTEMIS then utilizes current and stored emotions to adapt decision making and planning processes. As proof of concept, we realize a concrete software agent based on the ARTEMIS control system. This software agent acts as a user assistant and executes their orders and instructions. The environment of this user assistant consists of several other autonomous agents that offer their services. The execution of a user’s orders requires interactions of the user assistant with these autonomous service agents. These interactions lead to the creation of artificial emotions within the user assistant. The first experiments show that it is possible to realize an autonomous user assistant with plausible artificial emotions with ARTEMIS and record these artificial emotions in its Agent Knowledge Graph. The results also show that captured emotions support successful planning and decision making in complex dynamic environments. The user assistant with emotions surpasses an emotionless version of the user assistant.

Model for Profiler Agent during unexpected educational circumstances

Nowadays distance education helps when no other traditional possibility is allowed. But is it a good alternative to replace entirely the traditional education? Could it provide at least the same level of quality or it brings problems that we are not prepared for? The paper presents an observation of a problem with keeping students focused on their education – constant dropping of engagement and unintentional loss of attention during situation of distance learning. Appling measures to keep students’ attraction led to the need of some aspects’ automation – a model for a new intelligent assistant, software agent, was developed, along with the current ones in the existing system. This assistant will create profiles of students, helping with personalized tracking of each student’s progress in specific subject, recommending topics to improve knowledge and fill knowledge gaps. It will “live” in the extension of an existing system and cooperate with other agents to accomplish its goals, proactively assisting in students’ learning aspects, as well as teachers’ efforts to prepare better and more suitable educational materials.

Design and Implementation of a Chatbot for Kurdish Language Speakers Using Chatfuel Platform

Chatbot is a software agent that is used to conduct intelligent conversations between machines and humans. Chatbots are mostly depend on Natural Language Processing (NLP). In this paper, the design and implementation of a chatbot are provided to help Kurdish speakers in using online conversations via texts to find answers instead of direct contact with human agents. The NLP-based software agent is implemented using the Chatfuel platform. Chatfuel uses artificial intelligence to communicate with humans by simulating human conversations through voice commands or texts. The proposed chatbot is tested on an electronic tourist guide that helps visitors to the religious places in the mountainous village of Barzanja that is located in Iraqi Kurdistan. The case study is conducted by using three-hundred questions and answers. One hundred volunteers participated in this study. The participant asks a question and the bot provides an answer if it recognizes the question, otherwise it provides a default answer along with a suggestion of how to use the system properly. The data of these experiment is collected, analyzed, and problems regarding Kurdish language are detected. Designing software agents for processing Kurdish texts faces many challenges. Kurdish texts have not yet been processed using natural language processing (NLP). In addition, Kurdish font disorder and the lack of standardized keyboards and writing styles makes processing Kurdish text difficult. Furthermore, Kurdish language consists of variety of different dialects with different typing styles. In this research, we specifically focus on the design of a software agent for the Central Kurdish (Sorani) dialect. We managed to solve some of the problems related to the Kurdish language and suggest solutions to others.

Agent mining approaches: an ontological view

Introduced as an interdisciplinary area that combines multi-agent systems, data mining and knowledge discovery, agent mining is currently in practice. To develop agent mining applications involves a combination of different approaches (model, architecture, technique and so on) from software agent and data mining (DM) areas. This paper presents an investigation of the approaches used in the agent mining systems by deeply analyzing 121 papers resulting from a systematic literature review. An ontology was defined to capitalize the knowledge collected from this study. The ontology is organized according to seven main facets: the problem addressed, the application domain, the agent-related and the mining-related elements, the models, processes and algorithms. This ontology is aimed at providing support to decisions about agent mining application design.

Research of the specifics of logistics for the pilot production of new aircraft

The article considers the results of the research of the logistics system of one of the leading aircraft construction enterprises of the Russian Federation. Conclusions are made about the need to improve the coherence of the logistics plan and the production plan of the enterprise, taking into account the results achieved. It is proposed to use software agent systems to reduce losses associated with production downtime.

A Proposed Model of an Intelligent Software Agent for Marketing Education (ISAME)

The purpose of this article is to illustrate the advantages of intelligent software agent technologies in order to facilitate the location and customization of appropriate marketing education resources, as well as to foster collaboration between individuals within digital environments. In order to do this, this article discusses how such intelligent and interactive software can translate into a better educational environment for marketing curriculum, particularly e-marketing courses. The authors present a conceptual model for managing marketing training and education using intelligent software agent, based on extant literature. So, this article presents some initial test of the proposed model of ISAME usage in marketing education in e-marketing class.