Modelling social action for AI agents
TLDR
In this paper, the ontological categories for social action, structure, and mind are introduced, and different kinds of coordination (reactive versus anticipatory; unilateral versus bilateral; selfish versus collaborative) are characterised.About:
This article is published in Artificial Intelligence.The article was published on 1998-08-01 and is currently open access. It has received 530 citations till now. The article focuses on the topics: Action (philosophy) & Social relation.read more
Citations
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Proceedings ArticleDOI
Intention reconciliation by collaborative agents
TL;DR: New illustrations are provided of the ways in which SPIRE can reveal unpredicted interactions among the variables involved, and preliminary principles for designers of collaborative agents are suggested.
Journal ArticleDOI
A recursive bdi agent model for theory of mind and its applications
TL;DR: A formal belief, desire, intention (BDI)-based agent model for theory of mind (ToM) based on BDI concepts is discussed and three different application areas are discussed and how the model can be applied to each of them is illustrated.
Journal ArticleDOI
Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence
TL;DR: In this paper, the role of computer-mediated AI agents in detecting crises related to events in a firm is examined, and a structural model composed of a statistical and sentimental big data analytics approach is proposed.
Journal ArticleDOI
To Commit or Not to Commit: Modeling Agent Conversations for Action
Roberto A. Flores,Rob Kremer +1 more
TL;DR: A semantic model for specifying conversations using conversation policies based on the principles that the negotiation and uptake of shared social commitments entail the adoption of obligations to action, which indicate the actions that agents have agreed to perform is presented.
Book ChapterDOI
Trace signals: the meanings of stigmergy
TL;DR: A taxonomy of trace-signals is provided and their role in different social interactions is explored and their importance for decentralized and dynamic multi-agent systems is vast.
References
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Journal ArticleDOI
Intelligent Agents: Theory and Practice
TL;DR: Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents as discussed by the authors ; agent architectures can be thought of as software engineering models of agents; and agent languages are software systems for programming and experimenting with agents.
Book
Mindblindness : An Essay on Autism and Theory of Mind
TL;DR: The four steps autism and mindblindness how brains read minds the language of the eyes mindreading - back to the future was discussed in evolutionary psychology and social chess mindreading as discussed by the authors.
Lecture Notes in Artificial Intelligence
P. Brezillon,P. Bouquet +1 more
TL;DR: The topics in LNAI include automated reasoning, automated programming, algorithms, knowledge representation, agent-based systems, intelligent systems, expert systems, machine learning, natural-language processing, machine vision, robotics, search systems, knowledge discovery, data mining, and related programming languages.
Journal ArticleDOI
The interdisciplinary study of coordination
Thomas W. Malone,Kevin Crowston +1 more
TL;DR: This survey characterizes an emerging research area, sometimes called coordination theory, that focuses on the interdisciplinary study of coordination, that uses and extends ideas about coordination from disciplines such as computer science, organization theory, operations research, economics, linguistics, and psychology.