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"Software agents"
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Building intelligent systems : a guide to machine learning engineering
\"Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.\"--Page 4 of cover.
Programming multi-agent systems in AgentSpeak using Jason
by
Hübner, Jomi Fred
,
Wooldridge, Michael
,
Bordini, Rafael H
in
Computer programming
,
Electronics
,
Intelligent agents (Computer software)
2007
Jason is an Open Source interpreter for an extended version of AgentSpeak - a logic-based agent-oriented programming language - written in Java(tm).It enables users to build complex multi-agent systems that are capable of operating in environments previously considered too unpredictable for computers to handle.
Teamwork in Multi-Agent Systems
by
Verbrugge, Rineke
,
Dunin-Keplicz, Barbara
in
Artificial intelligence
,
Communication, Networking and Broadcast Technologies
,
Components, Circuits, Devices and Systems
2010
What makes teamwork tick? Cooperation matters, in daily life and in complex applications. After all, many tasks need more than a single agent to be effectively performed. Therefore, teamwork rules! Teams are social groups of agents dedicated to the fulfilment of particular persistent tasks. In modern multiagent environments, heterogeneous teams often consist of autonomous software agents, various types of robots and human beings. Teamwork in Multi-agent Systems: A Formal Approach explains teamwork rules in terms of agents' attitudes and their complex interplay. It provides the first comprehensive logical theory, TeamLog, underpinning teamwork in dynamic environments. The authors justify design choices by showing TeamLog in action. The book guides the reader through a fascinating discussion of issues essential for teamwork to be successful: What is teamwork, and how can a logical view of it help in designing teams of agents? What is the role of agents' awareness in an uncertain, dynamic environment? How does collective intention constitute a team? How are plan-based collective commitments related to team action? How can one tune collective commitment to the team's organizational structure and its communication abilities?\\ What are the methodological underpinnings for teamwork in a dynamic environment? How does a team and its attitudes adjust to changing circumstances? How do collective intentions and collective commitments arise through dialogue? What is the computational complexity of TeamLog? How can one make TeamLog efficient in applications? This book is an invaluable resource for researchers and graduate students in computer science and artificial intelligence as well as for developers of multi-agent systems. Students and researchers in organizational science, in particular those investigating teamwork, will also find this book insightful. Since the authors made an effort to introduce TeamLog as a conceptual model of teamwork, understanding most of the book requires solely a basic logical background.
Argumentation in multi-agent systems : first international workshop, ArgMAS 2004, New York, NY, USA, July 19, 2004 : revised selected and invited papers
by
ArgMAS 2004 (1st : 2004 : New York, N.Y.)
,
Rahwan, Iyad editor
,
Moraitis, Pavlos editor
in
Intelligent agents (Computer software) Congresses
,
Logic Congresses
2005
Logic-based technologies for multi-agent systems: a systematic literature review
by
Omicini, Andrea
,
Calegari, Roberta
,
Ciatto, Giovanni
in
Artificial intelligence
,
Deep learning
,
Intelligent systems
2021
Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be identified with the whole AI by many non-computer-scientists and non-technical media, symbolic approaches are getting more and more attention as those that could make AI amenable to human understanding. Given the recurring cycles in the AI history, we expect that a revamp of technologies often tagged as “classical AI”—in particular, logic-based ones—will take place in the next few years. On the other hand, agents and multi-agent systems (MAS) have been at the core of the design of intelligent systems since their very beginning, and their long-term connection with logic-based technologies, which characterised their early days, might open new ways to engineer explainable intelligent systems. This is why understanding the current status of logic-based technologies for MAS is nowadays of paramount importance. Accordingly, this paper aims at providing a comprehensive view of those technologies by making them the subject of a systematic literature review (SLR). The resulting technologies are discussed and evaluated from two different perspectives: the MAS and the logic-based ones.
Journal Article
Integrating cognitive architectures into virtual character design
\"This book presents emerging research on virtual character artificial intelligence systems and procedures and the integration of cognitive architectures by emphasizing innovative methodologies for intelligent virtual character integration and design\"-- Provided by publisher.
The first twenty years of agent-based software development with JADE
by
Bergenti, Federico
,
Monica, Stefania
,
Poggi, Agostino
in
Industrial applications
,
Interoperability
,
Java
2020
A recent survey provides convincing evidence that JADE is among the most widely used tools to develop agent-based software systems. It finds application in industrial settings and to support research, and it has been used to introduce students to software agents in various universities. This paper offers a perspective on the current state of JADE by first presenting a chronicle of the relevant events that contributed to make JADE what it is today. Then, this paper enumerates some of the abstractions that JADE helped to identify and that are now commonly adopted in the community of researchers and practitioners interested in software agents and agent-based software development. Such abstractions have been successfully applied to construct relevant software systems, and among them, this paper reports on a mission-critical system that uses the abstractions that JADE contributed to identify to serve millions of users every day. Finally, this paper discusses an outlook on the near future of JADE by sketching a recent project that could contribute to provide a new perspective on the use of JADE.
Journal Article
Constructive Dialogue Modelling
by
Jokinen, Kristiina
in
Automatic speech recognition
,
Communication, Networking and Broadcast Technologies
,
Components, Circuits, Devices and Systems
2009
Constructive Dialogue Modelling: Speech Interaction and Rational Agents provides an overview of the current dialogue technology and research trends in spoken dialogue systems, presenting a coherent perspective of AI-based cooperative interaction management. The book complements existing research regarding human-computer interfaces, speech and language technology, and communication studies in general, bringing different view-points together and integrating them into a single point of reference. Key Features: •Presents a guide to spoken dialogue technology and current research trends. •Provides an overview of human factors in dialogue systems and delivers a new metaphor for human-computer interaction and computer as agent. •Explains the architecture of dialogue systems using examples from systems such as Interact and DUMAS •Offers a comprehensive overview of original research into the new trends in speech dialogue technology in light of innovations such as ubiquitous computing. This book will provide essential reading for industrial designers and interface engineers, university researchers and teachers, computer scientists, human communication researchers, speech and language technologists, cognitive engineers/cognitive scientists, as well as social and media researchers, and psychologists. Advanced students and researchers in computer science, speech and language technologies, psychology and communication research will find this text of interest.