Developing Conversational Agents for Use in Criminal Investigations

The adoption of artificial intelligence (AI) systems in environments that involve high risk and high consequence decision-making is severely hampered by critical design issues. These issues include system transparency and brittleness, where transparency relates to (i) the explainability of results and (ii) the ability of a user to inspect and verify system goals and constraints; and brittleness, (iii) the ability of a system to adapt to new user demands. Transparency is a particular concern for criminal intelligence analysis, where there are significant ethical and trust issues that arise when algorithmic and system processes are not adequately understood by a user. This prevents adoption of potentially useful technologies in policing environments. In this article, we present a novel approach to designing a conversational agent (CA) AI system for intelligence analysis that tackles these issues. We discuss the results and implications of three different studies; a Cognitive Task Analysis to understand analyst thinking when retrieving information in an investigation, Emergent Themes Analysis to understand the explanation needs of different system components, and an interactive experiment with a prototype conversational agent. Our prototype conversational agent, named Pan, demonstrates transparency provision and mitigates brittleness by evolving new CA intentions. We encode interactions with the CA with human factors principles for situation recognition and use interactive visual analytics to support analyst reasoning. Our approach enables complex AI systems, such as Pan, to be used in sensitive environments, and our research has broader application than the use case discussed.

Dialogue Control of Collaborative Robots Based on Artifi cial Neural Networks

Collaborative robotics progress is based on the possibility to apply robots to the wide range activity of peoples. Now the user can control the robot without any special knowledge in robotics and safe. The price of such possibilities is complication of control system of robot which now has to aquire an opportunity of autonomous behavior under human’s control, using the necessary sensors and elements of artificial intelligence. In our research we suppose the collaborative robot as mobile robotic device possible to fulfil some work under the human’s speech demands not only in the same space with the human. We also suppose the necessity of bilateral dialogue human-robot to make it clear the task, the current situation, the state as robot as human. The complex task of control, or may be the collaboration of human with his artificial partner need new means of control, situation recognition, speech dialogue management. As a mean to solve the whole complex of problems we propose the combination of different artificial neural networks. Such as convolution networks for image recognition, deep networks for speech recognition, LSTM networks for autonomous movement of robot control in current situation. Investigations in the field of mobile and manipulation robots including the human-robot control have been proceeded for some years in the department "Robotic systems and mechatronics" BMSTU celebrating now it 70th years Jubilee. The reader may find some of the works in the bibliography. In result of all these investigations we obtain the service robot model which may find a wide application.

Verifiable Structure of Technological Processes in Dynamic 3D Models of Railway Stations

The article is devoted to the study of technological processes at railway stations reproduced in a threedimensional model from the standpoint of assessing reliability of the development of those processes. The identifiable simulated and virtual processes are matched against specific comparative positions. The benchmark is a fixed set of technological series of operations for processing wagon flows of all categories at a particular railway station.To provide adequacy of model reconstruction to the prototype, the emerging waiting time and downtime of rolling stock are considered, which are introduced into the model as special split states of main spatial locations of rolling stock. The concept of «paraphysical structures» is introduced into the developed model of the station, which comprises any conditions impossible according to physical canons and irrational according to technological requirements regarding the objects of track development and rolling stock. The logic of program control over similar states of modelled structures is based on the analysis of the allowed positions of station objects when performing reference technological operations. Slowdown in station operations can be a forerunner to waiting or downtime.An important methodological basis for the technique for developing a dynamic model of a station includes formation of a system of internal program analysis of the current situation, recognition of the moment of occurrence of a paraphysical situation and its anticipation by transforming it into normally developing standard situation. The adapting module of the information prototyping environment should be an intelligent agent with developed ability of generating exceptional situations based on comparative tests conducted by it, of developing an appropriate knowledge base and of using it in the process of further operations without any external users’ participation.The objective of the study, described in the article, is associated with dev elopment of general requirements for a dynamic model of a railway station, functioning adequately to a real technical system due to assessment of reliability of reproduced station technological processes.