systematic state-of-the-art survey on intelligent information agents. Eighteen coherently written chapters by leading authorities provide complementary coverage of the relevant issues organized in four parts: cooperative information systems and agents; rational information agents and electronic commerce; adaptive information agents; mobile agents and security. In addition, the volume editor has provided [...] Agent technology has recently become one of the most vibrant and fastest growing areas in information technology. Within this booming area, intelligent information agents are attracting particular attention from the research and development community as well as from industry and user communities interested in everyday private and professional applications. This monographic text is the first systematic [...] provided a detailed introductory survey chapter, motivational introductions to the four parts, and a comprehensive bibliography listing more than 700 entries. Matthias Klusch (Hrsg.), 1999

SAP initiated a survey project on agent technology in which the state of the art in the application of agents to industrial application domains is investigated. In this paper we describe our common effort and activities related to this project. The survey results consist of documents which describe relevant projects and products especially with respect to the technical details. These documents are [...] practitioners in industry as well as researchers willing to transfer knowledge into practice. Thus, we invite people to contribute relevant facts and ideas to the project web site (http://www.dfki.de/AgentSurvey). Mathias Bauer; Ludger van Elst; Klaus Fischer; Bernd Freisleben; Petra Funk; Gerd Große; Gabriele Paul; Susan Marie Thomas; Hartmut Vogler, 2002

prevalent vision of agent-mediated trading on electronic marketplaces that intelligent, economically driven agents will form a rich, diverse, dynamic economic Web, and that agent-to-agent e-commerce transactions may eventually dominate the global economy in the future. Agents may facilitate advertising, matchmaking and brokering. Current application of single agent and multi-agent systems for e-commerce [...] e-commerce and business include, shopbots, agent-based virtual marketplaces and auctions. A general survey of basic key enabling techniques is presented which are needed to build such institutions of agent-mediated trading in the Internet, and examples of systems of economically rational behaving agents. Matthias Klusch, 2000

monograph presents a comprehensive state-of-the-art survey on approaches to the design of intelligent agents. On the theoretical side, the author identifies a set of general requirements for autonomous interacting agents and provides an essential step towards understanding the principles of intelligent agents. On the practical side, the novel agent architecture InteRRaP is introduced: the detailed [...] e is an ideal guideline and case study for software engineers or researchers faced with the task of building an agent system. The book uniquely bridges the gap between theory and practice; it addresses active and novice researchers as well as practitioners interested in applicable agent technology. S. Bergamaschi; Matthias Klusch; P. Edwards; P. Petta (Hrsg.), 2003

This work provides a first version of a survey of explanation facilities implemented in AI-based design support software. The goal of the survey is to provide a comprehensive analysis that examines the existing approaches, prototypes, and tools, that aim at support of conceptual or concrete design phases in domains such as architecture or CAD and possess a certain explainability feature or component [...] component. The requirement for the approaches to be included in this survey is that they should be mainly based on AI or AI-based techniques, such as artificial neural networks, case-based reasoning, multi-agent systems etc. Each of the included approaches will be shortly described, with an emphasis on its explanation facility which then will be checked for certain criteria. In this paper, only a short selection

Multi-Agent Systems (MAS) offer an architecture for distributed problem solving. Distributed Data Mining (DDM) algorithms focus on one class of such distributed problem solving tasks - analysis and modeling of distributed data. This paper offers a perspective on DDM algorithms in the context of multiagents systems. It discusses broadly the connection between DDM and MAS. It provides a high-level survey [...] survey of DDM, then focuses on distributed clustering algorithms and some potential applications in multi-agent-based problem solving scenarios. It reviews algorithms for distributed clustering, including privacypreserving ones. It describes challenges for clustering in sensor-network environments, potential shortcomings of the current algorithms, and future work accordingly. It also discusses conf

the main techniques used in the two demonstrators that were built. The paper can be read as a survey of issues and techniques in the construction of ECAs, focusing on the generation of behaviour (i.e., focusing on information presentation) rather than on interpretation. Keywords: Embodied conversational agents; Fully generated scripted dialogue; Multimodal interfaces; Emotion modelling; Affective reasoning; [...] This paper presents the NECA approach to the generation of dialogues between Embodied Conversational Agents (ECAs). This approach consist of the automated construction of an abstract script for an entire dialogue (cast in terms of dialogue acts), which is incrementally enhanced by a series of modules and finally textquotedblleftperformedtextquotedblright by means of text, speech and body language,

general decentralized partially observable Markov decision process (Dec-POMDP). The Dec-POMDP is a principled model for co-operative decentralized multi-agent decision-making. An optimal solution of a Dec-POMDP is a set of local policies, one for each agent, which maximizes the expected sum of rewards over time. In contrast to most prior work on Dec-POMDPs, we set the reward as a non-linear function of [...] Decentralized policies for information gathering are required when multiple autonomous agents are deployed to collect data about a phenomenon of interest when constant communication cannot be assumed. This is common in tasks involving information gathering with multiple independently operating sensor devices that may operate over large physical distances, such as unmanned aerial vehicles, or in co [...] problems with finite action and observation spaces by employing particle filtering. The effectiveness of the proposed algorithms is verified in domains such as decentralized target tracking, scientific survey planning, and signal source localization. Mikko Lauri; Joni Pajarinen; Jan Peters, 2020

are invariant under orientation preserving affine transformations. The dipole calculi allow for a straightforward representation of prototypical reasoning tasks for spatial agents. As an example, we show how to generate survey knowledge from local observations in a street network. The example illustrates the fast constraint-based reasoning capabilities of dipole calculi. We integrate our results into

humans to acquire information. When asking a question, a robot needs to say or otherwise signal enough about its belief state and intentions, for the human to clearly understand what it is after. We survey existing work on the forms and meanings of questions in English, concentrating on the issue of how besides eliciting infor- mation from the hearer, a question can simultaneously offer a window into [...] into the speakers belief state. We propose a formalization based on a notion of common ground, set in a model of situated dialogue as part of collaborative activity. Generating questions starts from agent belief modeling, then forming the intention to request missing information or elicit feedback on uncertain information from a human, and planning and constructing the surface realization, including syntax