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Towards Ethical Argumentative Persuasive Chatbots 27th

Towards Ethical Argumentative Persuasive Chatbots

引用

27th international workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of multi-agent systems (COINE)

作者： Al Anaissy, Caren Vesic, Srdjan Nevejans, Nathalie CRIL Univ Artois Lens France CNRS Lens France Univ Artois CNRS CRIL Lens France Univ Artois Fac Law Douai Res Ctr Law Eth & Procedures Arras France

ISBN: (纸本)9783031491320;9783031491337

Argumentative persuasive technologies are technologies that use argumentation in order to persuade the persuadee to believe in something or not, which can later lead the persuadee to perform an action or not. the use of such tools opens numerous ethical considerations. In this paper, we survey the literature on persuasion that might be useful for argumentative persuasive chatbots, we cover the existing legal framework and ethical principles and we critically analyze the new proposal for a regulation on artificial intelligence of the European Commission. We also show how to use argumentation to enhance explainability and transparency of the persuasion systems. We propose to show the graphical representation of the arguments used during the persuasion to the user at the end of the dialogue, containing the relations between the arguments (attacks, supports), their origin (source), who uttered them (i.e. the machine or the human participant) and the persuasive methods employed. Our approach has several benefits. Namely, it makes the system more transparent and enhances the human understanding of the system, which is a benefit per se. Furthermore, the fact that the system is transparent increases the trust of the user, which (apart from being one of the goals of AI in general) can increase the chance that the user is persuaded by the system. Finally, the user can give a feedback on the presented arguments (e.g. how much they believe the arguments are ethical), which can be later used to improve the persuasion system.

关键词： Persuasive chatbots Ethics of persuasive technology computational argumentation

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Intelligent Motion Control System for the Mobile Robotic Platform 7

Intelligent Motion Control System for the Mobile Robotic Pla...

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7th international Conference on computational Linguistics and Intelligent systems. Volume III: Intelligent systems workshop, CoLInS 2023

作者： Tsmots, Ivan Teslyuk, Vasyl Opotyak, Yurii Rabyk, Vasyl Lviv Polytechnic National University 12 Bandery St Lviv79013 Ukraine Ivan Franko National University of Lviv 1 Universytetska St Lviv79000 Ukraine

Most of the modern mobile robotic platforms use interactive management using computing and artificial intelligence technologies. A feature of mobile robotic platform is the ability to adapt to the external environment, which requires the inclusion of intelligent sensors and control systems. In this paper it is proposed to develop intelligent motion control system for the a mobile robotic platform on the basis of an integrated approach, which covers: navigation methods, methods of preliminary data processing;modern methods and algorithms of intellectual management and fuzzy logic;modern element base;methods of intellectual processing and evaluation of data from sensors in the conditions of interference and incompleteness of information;methods and means of automated design of hardware and software. the structure of intelligent motion control system is developed for wheeled mobile robotic platform. Set of the rules for fuzzy logic control system are developed. the results of modelling the movement of a wheeled robotic platform with different values of readings from sensors in the environment based on the developed rules are presented. It is proposed to perform software development of control system for mobile robotic platform in remote mode. Up-to-date information from sensors is transmitted via the Wi-Fi network. this information is processed by the control system under development, which transmits control signals via the same Wi-Fi network to the wheeled robot. Developed software, taking into account cross-platform nature of the development tools used, can be easily loaded into the control microcomputer of mobile robotic platform for regular use. © 2023 Copyright for this paper by its authors.

关键词： Control systems

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Epistemic multiagent Reasoning with Collaborative Robots 37

Epistemic Multiagent Reasoning with Collaborative Robots

引用

37th Italian Conference on computational logic, CILC 2022

作者： Soldà, Davide Fabiano, Francesco Dovier, Agostino Constraint and Logic Programming Lab University of Udine Udine33100 Italy Embedding System Unit of Fondazione Bruno Kessler Trento38123 Italy Department of Mathematical Physical and Computer Sciences University of Parma Parma43124 Italy Department of Mathematics Computer Science and Physics University of Udine Udine33100 Italy

Over the last few years, the fields of Artificial Intelligence, Robotics and IoT have gained a lot of attention. this increasing interest has brought, among other things, to the development of autonomous multi-agent systems where robotic entities may interact with each other. As for all the other autonomous settings, also these systems require arbitration. Our work tries to address this problem by presenting a framework that embeds both a classical and a multi-agent epistemic (epistemic, for brevity) planner in a robotic control architecture. the idea is to combine the (i) classical and the (ii) epistemic solvers to model efficiently the interaction with: the (i) physical world and the (ii) information flows, respectively. In particular, the presented architecture starts by planning on the "epistemic level" refining then single-agent world-altering actions thanks to the classical planner. To further optimize the solving process, we also introduce the concept of macros in epistemic planning. Macros, in fact, have been successfully employed in classical planning as they allow for opportune aggregations of actions that may lead to a reduction of plans' length. Finally, the overall framework is exemplified and validated with two Franka Emika manipulators. this allowed us to empirically justify how the combination of the two planning approaches (classical and epistemic), and the introduction of macros, reduce the computational time required by the orchestrating phase. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0)

关键词： Robot programming

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multi-agent Conformant Planning with Distributed Knowledge 1

引用

8th international workshop on logic, Rationality and Interaction, LORI 2021

作者： Li, Yanjun College of Philosophy Nankai University Tianjin China

ISBN: (数字)9783030887087

ISBN: (纸本)9783030887070

In this paper, we study the evolution of knowledge in multi-agent conformant planning over transition systems. We propose a dynamic epistemic logical framework with modalities of distributed knowledge to handle the epistemic reasoning in such scenarios, and we reduce a problem of multi-agent conformant planning to a model checking problem. We prove that multi-agent conformant planning is Pspace-complete on the size of the dynamic epistemic model. © 2021, Springer Nature Switzerland AG.

关键词： multi agent systems

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Dynamic Coalition logic: Granting and Revoking Dictatorial Powers 1

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8th international workshop on logic, Rationality and Interaction, LORI 2021

作者： Galimullin, Rustam Ågotnes, thomas University of Bergen Bergen Norway Southwest University Chongqing China

ISBN: (数字)9783030887087

ISBN: (纸本)9783030887070

One of the classic formalisms for reasoning about multi-agent coalitional ability is coalition logic (CL). In CL it is possible to express what a coalition can achieve in the next step no matter what agents outside of the coalition do at the same time. We propose an extension of CL with dynamic operators that allow us to grant dictatorial powers to agents or to revoke them. In such a way we are able to reason about the dynamics of coalitional ability. We also discuss some logical properties of the proposed formalisms and compare their relative expressive power. © 2021, Springer Nature Switzerland AG.

关键词： multi agent systems

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SAT for Epistemic logic Using Belief Bases 7th

SAT for Epistemic Logic Using Belief Bases

引用

7th international workshop on Engineering multi-agent systems (EMAS)

作者： Lorini, Emiliano Romero, Fabian Toulouse Univ IRIT CNRS Toulouse France

ISBN: (纸本)9783030514174;9783030514167

In [4] a new epistemic logic LDA of explicit and implicit belief was introduced, and in [5] we presented a tableau-based satisfability checking procedure as well as a dynamic extension for it. Based on such procedure, we created a portable software implementation that works for the family of multi-agent epistemic logics, as well as for the proposed dynamic extension. this software implementation runs as a library for the most common operative systems, also runs in popular IoT and robot hardware, as well as cloud environments and in server-less configurations.

关键词： multi agent systems

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An Intelligent Particle Filter Based Joint Probabilistic Data Association Algorithm for Long-Duration multi-Target Tracking in Clutter Environment

An Intelligent Particle Filter Based Joint Probabilistic Dat...

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IEEE international Conference on Information Communication and Signal Processing (ICICSP)

作者： Xihao Wang Die Chen Yanru Zhao School of Mathematical Sciences University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

the Joint Probabilistic Data Association Algorithm based on Particle Filter (JPDA-PF) is used in the tracking problem of nonlinear multi-target systems in dense clutter environments. However, during long time tracking, the tracking accuracy decreases with the increase of time. Meanwhile JPDA produces a combinatorial explosion in the number of associated events as the number of targets and clutter increases, greatly increasing the computational task. In this paper, a Joint Probabilistic Data Association Algorithm based on dolphin swarm particle filter (JPDA-DSPF) is proposed. Using the dolphin swarm optimization algorithm as a resampling method for particle filter can optimize the particle distribution to be closer to the region of high likelihood, and enhance the particle diversity to weaken the particle degradation phenomenon. We use an adaptive sequential approach to reduce computational costs by discarding correlated events with small probabilities. Finally, it is proved by simulation experiments that the method can effectively reduce the tracking error, inhibit the increasing trend of the error with time, effectively reduce the computation task and enhance the timeliness during multi-target encounters.

关键词： Target tracking Signal processing algorithms Signal processing Probabilistic logic Market research Information filters Particle filters Clutter Particle swarm optimization Dolphins

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Ethical Monitoring and Evaluation of Dialogues with a MAS 36

Ethical Monitoring and Evaluation of Dialogues with a MAS

引用

36th Italian Conference on computational logic, CILC 2021

作者： Dyoub, Abeer Costantini, Stefania Lisi, Francesca A. Letteri, Ivan Dipartimento di Ingegneria e Scienze dell'Informazione e Matematica Università degli Studi dell'Aquila Italy Università degli Studi di Bari "Aldo Moro" Italy

Chatbots are tools aimed at simplifying the interaction between humans and computers, typically used in dialogue systems for various practical purposes. these systems should be built on ethical foundations because their behavior may heavily influence a user (think especially about children). the primary objective of this paper is to present the architecture and prototype implementation of a multi agent System (MAS) designed for ethical monitoring and evaluation of a dialogue system. A prototype application, for monitoring and evaluation of chatting agents' (human/artificial) ethical behavior in an online customer service chat point w.r.t their institution/company's codes of ethics and conduct, is developed and presented. We focus on the implementation specifics of the proposed system and the presented prototype application. Future work and open issues with this research are discussed. Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： multi agent systems

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Enhancing the Surveillance, Assessment, and Tracking of Mental Health and Well-being Using Deep Learning Techniques

Enhancing the Surveillance, Assessment, and Tracking of Ment...

引用

IEEE international Conference on Signal Processing, Computing and Control (ISPCC)

作者： Sireesha Chittepu Sheshikala Martha Dept of CS&AI School of Computer Science SR University Hyderabad Telangana

ISBN: (数字)9798331538934

ISBN: (纸本)9798331538941

Mental Health and well-being among people can be crucial concerns, thus making it important for productive models or tools to detect the issue and monitor the situation. We proposed a Convolutional Network Model(CNN), as the ideal solution for examining the data of mental health, by evaluating numerous deep-learning models. Earlier, we worked on exploring Recurrent Neural Networks(RNN) and Gated Recurrent Units(GRU). the CNN model signified a high performance making it the ideal model, by achieving high accuracy. the ability of CNN to successfully consider complex, and various multi-dimensional patterns from the data, makes it the appropriate model for this *** precision and robustness of this model, call attention to its capability to intensify mental health assessment and tracking systems. the CNN approach not only enhances the accuracy of detection but also comes up with an automated solution for monitoring mental health, with notable inferences for implementation in many other domains like educational, clinical, and community settings. the study highlights the significance of the selection of an ideal deep-learning model to expand the productiveness of mental health interferences in people.

关键词： Accuracy Recurrent neural networks computational modeling Surveillance Soft sensors Mental health logic gates Data models Robustness Convolutional neural networks

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Distributed Adaptive Approach for Uncertain Nonlinear multi-agent systems with Unknown Actuator Failures and Unknown Disturbances∗ 7

Distributed Adaptive Approach for Uncertain Nonlinear Multi-...

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7th international Conference on Information, Cybernetics, and computational Social systems, ICCSS 2020

作者： Liu, Dacai Liu, Zhi Lin, Luyue School of Automation Guangdong University of Technology Guangzhou China

ISBN: (纸本)9781728162461

this paper investigates the distributed infinite-time control problem and distributed finite-time control problem for a class of uncertain nonlinear multi-agent systems with unknown actuator failures and unknown disturbances. By introducing distributed adaptive control technique, fuzzy logic systems and a bound estimation approach, two novel distributed fault-tolerant adaptive fuzzy control methods are proposed to ensure all followers well follow leader subject to unknown actuator failures and unknown disturbances. At last, both stability analysis and simulation results are provided to verify our control schemes. © 2020 IEEE.

关键词： multi agent systems

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