Towards a Neural Era in Dialogue Management for Collaboration: A Literature Survey

Dialogue-based human-AI collaboration can revolutionize collaborative problem-solving, creative exploration, and social support. To realize this goal, the development of automated agents proficient in skills such as negotiating, following instructions, establishing common ground, and progressing shared tasks is essential. This survey begins by reviewing the evolution of dialogue management paradigms in collaborative dialogue systems, from traditional handcrafted and information-state based methods to AI planning-inspired approaches. It then shifts focus to contemporary data-driven dialogue management techniques, which seek to transfer deep learning successes from form-filling and open-domain settings to collaborative contexts. The paper proceeds to analyze a selected set of recent works that apply neural approaches to collaborative dialogue management, spotlighting prevailing trends in the field. This survey hopes to provide foundational background for future advancements in collaborative dialogue management, particularly as the dialogue systems community continues to embrace the potential of large language models

Intentional dialogues in multi-agent systems based on ontologies and argumentation

Some areas of application, for example, healthcare, are known to resist the replacement of human operators by fully autonomous systems. It is typically not transparent to users how artificial intelligence systems make decisions or obtain information, making it difficult for users to trust them. To address this issue, we investigate how argumentation theory and ontology techniques can be used together with reasoning about intentions to build complex natural language dialogues to support human decision-making. Based on such an investigation, we propose MAIDS, a framework for developing multi-agent intentional dialogue systems, which can be used in different domains. Our framework is modular so that it can be used in its entirety or just the modules that fulfil the requirements of each system to be developed. Our work also includes the formalisation of a novel dialogue-subdialogue structure with which we can address ontological or theory-of-mind issues and later return to the main subject. As a case study, we have developed a multi-agent system using the MAIDS framework to support healthcare professionals in making decisions on hospital bed allocations. Furthermore, we evaluated this multi-agent system with domain experts using real data from a hospital. The specialists who evaluated our system strongly agree or agree that the dialogues in which they participated fulfil Cohen’s desiderata for task-oriented dialogue systems. Our agents have the ability to explain to the user how they arrived at certain conclusions. Moreover, they have semantic representations as well as representations of the mental state of the dialogue participants, allowing the formulation of coherent justifications expressed in natural language, therefore, easy for human participants to understand. This indicates the potential of the framework introduced in this thesis for the practical development of explainable intelligent systems as well as systems supporting hybrid intelligence

Reflective Artificial Intelligence

As Artificial Intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today's AI systems usually do these tasks with an unusual imbalance of insight and understanding: new, deeper insights are present, yet many important qualities that a human mind would have previously brought to the activity are utterly absent. Therefore, it is crucial to ask which features of minds have we replicated, which are missing, and if that matters. One core feature that humans bring to tasks, when dealing with the ambiguity, emergent knowledge, and social context presented by the world, is reflection. Yet this capability is completely missing from current mainstream AI. In this paper we ask what reflective AI might look like. Then, drawing on notions of reflection in complex systems, cognitive science, and agents, we sketch an architecture for reflective AI agents, and highlight ways forward

Working notes of the KI \u2796 Workshop on Agent Oriented Programming and Distributed Systems

Agent-oriented techniques are likely to be the next significant breakthrough in software development process. They provide a uniform approach throughout the analysis, design and implementation phases in the development life cycle. Agent-oriented techniques are a natural extension to object-oriented techniques, but while there is a whole pIethora of analysis and design methods in the object-oriented paradigm, very little work has been reported on design and analysis methods in the agent-oriented community. After surveying and examining a number of well-known object-oriented design and analysis methods, we argue that none of these methods, provide the adequate model for the design and analysis of multi-agent systems. Therefore, we propose a new agent-specific methodology that is based on and builds upon object-oriented methods. We identify three major models that need to be build during the development of multi-agent applications and describe the process of building these models

Engineering Multiagent Systems - Reflections

This report documents the programme and outcomes of Dagstuhl Seminar 12342 ``Engineering multiagent Systems\u27\u27. The seminar brought together researchers from both academia and industry to identify the potential for and facilitate convergence towards standards for agent technology. As such it was particularly relevant to industrial research. A key objective of the seminar, moreover, has been to establish a road map for engineering multiagent systems. Various research areas have been identified as important topics for a research agenda with a focus on the development of multiagent systems. Among others, these include the integration of agent technology and legacy systems, component-based agent design, standards for tooling, establishing benchmarks for agent technology, and the development of frameworks for coordination and organisation of multiagent systems. This report presents a more detailed discussion of these and other research challenges that were identified. The unique atmosphere of Dagstuhl provided the perfect environment for leading researchers from a wide variety of backgrounds to discuss future directions in programming languages, tools and platforms for multiagent systems, and the road map produced by the seminar will have a timely and decisive impact on the future of this whole area of research

The economic and geopolitical weight in the balance of international relations: the case of German-Russian relations

Germany’s relationship with Russia has long been regarded as ‘special’ and ‘strategic’, and the evolution of Ostpolitik throughout the years has never lost sight of the original purpose: to increase ties between East and West. The annexation of Crimea marked a turning point in their relations, accounting for a major change in Germany’s Russia policy and opened the debate among scholars about continuity and change in German foreign policy. Drawing upon the theoretical framework of foreign policy change and continuity and based on the liberal and constructivist approaches, the study focuses on economic and geopolitical factors as main forces driving government’s decisions in interstate relations, and it seeks to evaluate their balance in determining Germany’s approaches towards Russia. With the purpose of assessing the nature of Germany’s Russia policy, this dissertation adopts the method of process tracing to investigate the causal mechanism behind Berlin’s responses in three different cases: the signing of Nord Stream deal, the Georgian conflict and the Ukraine crisis. Through the analysis of three focal events, the collection of economic data and the examination of Federal Government’s official statements, the following research argues that the geopolitical factor alone cannot account for the observed change; while the economic dimension plays a major role in determining Germany’s foreign policy outcomes vis-à-vis Russia.http://www.ester.ee/record=b4684489*es

Mindfulness : Extending Treatment for Early Onset Obsessive Compulsive Disorder / Tourettes Syndrome

Mindfulness is a categorical name for a group of techniques borrowed from ancient Buddhist practices that teach individuals to pay attention in the present moment. Recently, the technique has been applied successfully in several clinical populations to help individuals live with, or accept, some of the difficult-to-treat symptoms of their illnesses. This intervention study takes three specific techniques from the mindfulness literature and introduces them to a young male who had been diagnosed and has received evidence-based treatment for early onset obsessive compulsive disorder, comorbid with Tourette’s syndrome. Fourteen sessions, scheduled over eight weeks, occurred. Three measures of effectiveness were developed to gauge the ability of practicing mindfulness to relieve the individual’s depressive symptoms, a common side effect of living with an incurable disorder. The individual took a Beck Depression Inventory, Second Edition before beginning the intervention, then, at two weeks, at four weeks and at eight weeks into the mindfulness practice. In addition, seven goals were created to assess the effectiveness of this intervention; five were based on clinical knowledge of the individual and two were related to the outcome research on mindfulness. The third measure of effectiveness came from the individual’s self-report data at the end of each session. Each session was predictable, practicing the same three techniques: (1). the facilitator began with a body scan; (2). the individual and the facilitator then listened to one piece of classical music; and (3). each session ended with conscious breathing. The results of this protocol are promising. This individual showed a reduction in depressive symptomology while practicing mindfulness meditation, achieved homeostasis or better on three of the five clinical and two outcome goals, and expressed personal benefit at the end of most sessions. Continued application with a young population will help to inform the practice of mindfulness with young people and will be able to bring this ancient practice into the twenty-first century classroom

Specifying and verifying communities of Web services using argumentative agents

This thesis includes two main contributions: the first one is specifying the use of argumentative agents in the design and development of communities of Web services; the second is using a formal technique to verify communication protocols against given properties for these communities. Web services that provide a similar functionality are gathered into a single community, independently of their origins, locations, and ways of doing. Associating Web services with argumentative agents that are able to persuade and negotiate with others organizes these Web services in a better way so that they can achieve the goals they set in an efficient way. A community is led by a master component, which is responsible among others for attracting new Web services to the community, retaining existing Web services in the community, and identifying the Web services in the community that will participate in composite scenarios. Besides FIPA-ACL, argumentative dialogue games are also used for agent interaction. In this thesis, we use tableau-based model checking algorithm to verify our argumentative agent-base community of Web services negotiation protocol. This algorithm aims at verifying systems designed as a set of autonomous interacting agents. We provide the soundness, completeness, termination and complexity results. We also simulate our specification with Jadex BDI programming language and implement our verification with a modified and enhanced version of CWB-NC model checker. Keywords. Multi-agent systems, BDI agent architecture, model checking, agent oriented programming, FIPA-ACL, dialogue game, agent-based negotiation protocol, Jadex, CWB-NC