Edward Nawarecki

Agent Populations as Computational Intelligence

The paper deals with agent-based architectures of hybrid soft-computing systems, which should exhibit intelligent behaviour at a population level. Three levels of complexity of such systems are distinguished together with their potential advantages. The considerations are illustrated by prototypical realisations of evolutionary multi-agent systems dedicated to multiobjective optimisation, data classification, and time-series prediction.

Multi-aspect Character of the Man-Computer Relationship in a Diagnostic-Advisory System

Chapter reviews the solutions used in diagnostic-advisory system, dedicated to the needs of the foundry industry. Multimedia techniques used in the system were selected to create a comprehensive capabilities of contact between user and computer system. The first part of the considerations apply to work in diagnostic mode, including identification of castings defects and determine the causes of their occurrence, the second part is a look at some of the features of the system implemented in a consultative mode, such as the integration of knowledge or technical and market expertise. Many illustrations was used to illustrate the various forms of contact with the user.

Discovery of crises via agent-based simulation of a transportation system

The contribution deals with a class of intelligent decentralized systems that are marked by the possibility of arising critical situations. The work starts from the elaboration of an overall methodology dedicated to the discovery of crises and support of anti-crisis activities. Then the case of transportation enterprise support system is discussed in detail. A simulation study of anti-crisis management in such a system concludes the work.

Agent-Based Modeling of Supply Chains in Critical Situations

Supply chains are discussed in this article. They are viewed as intelligent decentralized systems that meet the agent paradigm. Thus possibility of arising critical situations in the chains can be analyzed in the agent-based manner. The work is focused on applying an overall methodology dedicated to the discovery of crises and support of anti-crisis activities. The agent-based model is proposed that incorporates majority of features of supply chains so that the modeling of crises can be wide-ranging and easy. As an illustration some simulation results are presented.

Agent-Based evolutionary model for knowledge acquisition in dynamical environments

The basic idea of the approach proposed in this paper is to apply multi-agent paradigm in order to enable the integration and co-operation of different knowledge acquisition and representation techniques. The effective operation of learning process is achieved by evolutionary optimization running at the level of agents’ population. In the discussed variant of the model, each agent uses reinforcement learning, and the obtained knowledge is represented as the set of simple decision rules. The approach is illustrated by a particular realization of the system dedicated to the evasive maneuvers problem, together with preliminary experimental results.

Ontology of cooperating agents by means of knowledge components

A special way of structuralisation of knowledge and functionality of multi-agent systems is proposed that allows (self-) organisation and realisation of their global goal. Formally based structuralisation can also aid a process of designing (assembling) and documenting such a system. The approach is illustrated by the case of knowledge structuralisation of the decentralised information decision system oriented to diagnosis of casting defects.

Functional integrity of MAS through the dynamics of the agents' population

In open multi-agent systems, i.e. systems in which agents of different kinds may join or leave the system, the problem of functional integrity seems to be of vast importance. The thesis discussed in this paper is that the number of agents in a multi-agent system can be an important characteristic of its dynamics and, in particular, constitute a base for evaluation of its functional integrity at a population level. Certain mechanisms which allow for controlling the number of agents- preserving their autonomy-have been also proposed.

Agent-Based Integration of Data Acquired from Heterogeneous Sources

Agent-based framework dedicated to acquiring and processing heterogeneous data, collected in various Internet sources is presented. It is built upon a hierarchical, distributed computation system Age that has already been successfully used for various optimization and classification task.

Unfavorable Behavior Detection in Real World Systems Using the Multiagent System

Nowadays detecting destructive attacks and dangerous activities is crucial problem in many real world security systems. A security system should enable to distinguish some actors which effects of behavior are perhaps unfavorable for a considered area. The considered areas are real world systems e.g. airports, shops or city centers. Project of real world security system should assume the changing and unpredictable type of dangerous activities in real world systems. Security system has to detect and react to new kind of dangers that have never been encountered before. In this article there are presented methods derived from some ethically-social and immunological mechanisms that should enable automated intrusion detection.

Intelligent Information System Based on Logic of Plausible Reasoning

The chapter presents a methodology for the application of a formalism of the Logic of Plausible Reasoning (LPR) to create knowledge about a specific problem area. In this case, the methodology has been related to the task of obtaining information about the innovative casting technologies. In the search for documents, LPR gives a much greater expressive power than the commonly used keywords. The discussion is illustrated with the results obtained using a pilot version of the original information tool. It also presents a description of intelligent information system based on the LPR and the results of tests on the functionality and performance parameters of the system.