Multi-agent Expert Systems Research Articles

EXPERT SYSTEM FOR SUPPORT AND DECISION-MAKING ON THE MANAGEMENT OF INFORMATION SECURITY OF OBJECTS OF CRITICAL INFORMATION INFRASTRUCTURE

The article discusses the possibilities of forming a knowledge base as a multi-agent expert system for support and decision-making by officials of critical information infrastructure (CII) facilities and situational departmental centers of the State SOPKA, determines the tasks it solves, and on the basis of knowledge engineering, the choice of the strategy for obtaining knowledge «knowledge formation» is made. To implement the chosen strategy, the APNI JSM method (inductive D.S. Mill method [8], developed with the support of the Agency for Advanced Research) [3] is proposed, which is suitable for the conditions of applicability. In the development of the method, it is proposed to complete the whole process of resolving uncertainty, the epistemological chain «Problem — Hypothesis» [9] to be completed with the link «Law» with the establishment of a pattern for determining the identifier of a computer attack in the block of a false network information object (LSIO) of the information security system (ISI) of the CII object [3].

METHOD OF FORMING DECISION-MAKING BASED ON MULTI-CRITERIA ASSESSMENT WHEN REPELLING COMPUTER ATTACKS AND ELIMINATING THEIR CONSEQUENCES

Within the concept of the State system of detection and prevention of computer attacks (KA) in the formation of the knowledge base KA, as a multi-agent expert systems and support decision-making by officials of objects of critical information infrastructure (CII) and situational departmental centers, the proposed methods of formation of scenarios of management decisions in a situation of information security (is), complement of intellectual tools: • the mining technique of rapidly changing situations; • methodology for forming decision-making based on multi-criteria assessment. This will allow us to move on to solving the problems of synthesizing information security management as an effective operational and technical state intellectual system, taking into account the tasks solved by state regulators.

Реализация экспертной системы для оценки инновационности технических решений

The paper presents a possible solution to the problem of algorithmization for quantifying inno-vativeness indicators of technical products, inventions and technologies. The concepts of technological nov-elty, relevance and implementability as components of product innovation criterion are introduced. Authors propose a model and algorithm to calculate every of these indicators of innovativeness under conditions of incompleteness and inaccuracy, and sometimes inconsistency of the initial information. The paper describes the developed specialized software that is a promising methodological tool for using interval estimations in accordance with the theory of evidence. These estimations are used in the analysis of complex multicomponent systems, aggregations of large volumes of fuzzy and incomplete data of various structures. Composition and structure of a multi-agent expert system are presented. The purpose of such system is to process groups of measurement results and to estimate indicators values of objects innovativeness. The paper defines active elements of the system, their functionality, roles, interaction order, input and output inter-faces, as well as the general software functioning algorithm. It describes implementation of software modules and gives an example of solving a specific problem to determine the level of technical products innovation.

An Integrated use of ISO27005, Mehari and Multi-Agents System in order to Design a Comprehensive Information Security Risk Management Tool

While there are many framework which help users in Security Risk Assessment, the authors of this paper know of none which actually try to automate the process by using multi agent system. This article presents a multi-agent expert system, a web-based solution where users create autonomous agents to perform an information security assessment. Users specify parameters to guide and constrain an agent's overall behavior. The key element that differentiates this research from the previous ones is that none of them are based on multi-agents system. General Terms Security risk assessment, risk management system, framework, audit, information system.

Generalizing the conjunction rule for aggregating conflicting expert opinions

In multiagent expert systems, the conjunction rule is commonly used to combine expert information represented by imprecise probabilities. However, it is well known that this rule cannot be applied in the case of expert conflict. In this article, we propose to resolve expert conflict by means of a second-order imprecise probability model. The essential idea underlying the model is a notion of behavioral trust. We construct a simple linear programming algorithm for calculating the aggregate. This algorithm explains the proposed aggregation method as a generalized conjunction rule. It also provides an elegant operational interpretation of the imprecise second-order assessments, and thus overcomes the problems of interpretation that are so common in hierarchical uncertainty models.

A multiagent approach for diagnostic expert systems via the internet

In recent years there has been considerable interest in the possibility of building complex problem solving systems as groups of co-operating experts. This has led us to develop a multiagent expert systems capable to run on servers that can support a large group of users (clients) who communicate with the system over the network. The system provides an architecture to coordinate the behavior of several specific agent types. Two types of agents are involved. One type works on the server computer and the other type works on the client computers. The society of agents in our system consists of expert systems agents (diagnosis agents, and a treatment agent) working on the server side, each of which contains an autonomous knowledge-based system. Typically, agents will have expertise in distinct but related domains. The whole system is capable of solving problems, which require the cumulative expertise of the agent community. Besides to the user interface agent who employs an intelligent data collector, so-called communication model in KADS, working on the client sides. We took the advantage of a successful pre-existing expert systems-developed at CLAES (Central Laboratory for Agricultural Expert Systems, Egypt)-for constructing an architecture of a community of cooperating agents. This paper describes our experience with decomposing the diagnosis expert systems into a multi-agent system. Experiments on a set of test cases from real agricultural expert systems were preformed. The expert systems agents are implemented in Knowledge Representation Object Language (KROL) and JAVA languages using KADS knowledge engineering methodology on the WWW platform.

Coordination and communication issues in multi-agent expert system: concurrent configuration design advisor

The model of concurrent configuration design and the architecture of Concurrent Configuration Design Advisor (CCDA) are considered. The CCDA is developed as an open dynamic expert system of interacting agents. In the context of this article a configuration problem is defined as a decision-making procedure performed by concurrent processes (agents). The analysis of concurrent and sequential activities in this system is based on structural transformations (in the form of graph grammars) that permits the definition of correct criteria for data integrity and the consistency of configured project data model, and any dynamic changes in the project to be modeled conveniently. This approach also makes it possible to handle complex hierarchial data structures of real configured objects and to model communication and synchronization of decision making in a distributed expert system in a common formalism. The system to be configured is decomposed into structured objects, called fragments. The proposed model consists of three types of agents. D-agents are those capable of the object configuration design within the constraints on their attributes. To cope with agents' coordination, objects' consistency and data integrity problems, a special type of agent, facilitator or F-agent, is introduced. Finally, project assistants or A-agents are responsible for the user interface at the stage of object model definition. The discussion is illustrated with examples from the application domain of flexible manufacturing systems. Experimental results, current and future work on the expert system implementation are considered.

Net of multi-agent expert systems with emergent control

An aperture to expertise as a social outcome is to minimize supervised control: control of an expert system society and control of an agent's society in multi-agent expert systems. The present paper starts this aperture with autonomous behavioral agents within Expert Systems that exhibit bottom-up emergent control. The behavior-agents are either reasoning agents or communicating agents. The reasoning agents have a blackboard Domain Working Memory or a Meta Working Memory. The Expert Systems communicate with each other in a net for the solution of a problem. A practical development has been made in the medical domain of interconsultation that shows expedient problem-solving behavior.