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
The emergence of collective intelligence
TL;DR: This paper investigates and identifies the emergence of collective intelligence amongst humans through the observation of face-to-face meetings in which two or more human entities are involved in formal and informal discussions and the term personal intelligence is introduced to describe it's influence in generating successful Collective Intelligence.
Journal ArticleDOI
Issues of trust and control on agent autonomy
TL;DR: It is shown that paradoxically control could not be antagonistic of strict trust in y, but it can even create, increase it by making y more willing or more effective, and a good theory of trust cannot be complete without a theory of control.
Journal ArticleDOI
Methodologies for agent systems development: underlying assumptions and implications for design
TL;DR: The paper identifies significant challenges for agent systems methodologies that, if pursued, can contribute to a new understanding of the field that shifts the foci of current agent systems research, towards holistic design methods that place human users and information systems stakeholders at the centre of interest and involve them in the design process as much as possible.
DissertationDOI
Modelling agent conversations for action
TL;DR: The conversational principle is the negotiation of shared social commitments, which entails the adoption and discard of obligations to act in the form of conversations according to the observable state of interacting agents.
Belief revision: cognitive constraints for modeling more realistic agents
TL;DR: Cognitive requirements to characterize belief revision in cognitive agents are proposed and some guidelines for future researches are proposed, to the purpose of developing formal models of belief revision explicitly oriented toward cognitive and social issues.
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.