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Open AccessJournal ArticleDOI

Modelling social action for AI agents

Cristiano Castelfranchi
- 01 Aug 1998 - 
- Vol. 103, Iss: 1, pp 157-182
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.

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Citations
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Journal ArticleDOI

Modelling the Interruption on HCI Using BDI Agents with the Fuzzy Perceptions Approach: An Interactive Museum Case Study in Mexico

TL;DR: It is concluded that managing interruptions can enhance the HCI, producing a positive learning process that influences user experience.
Proceedings ArticleDOI

Social Action in Socially Situated Agents

TL;DR: It is demonstrated that these specific issues of behavioural and evolutionary instability caused by the unintended consequences of interactions can be addressed with agents capable of a fusion of goal-rationality and traditional action, resulting in a stable society capable of achieving goals during the course of evolution.
Proceedings ArticleDOI

Positive and negative expectations and the deontic nature of social conventions

TL;DR: It is argued that with this analysis it is possible to explain the self-organizing and stabilizing effect of conventions that create an equilibrium noxious for all the participants and individually more costly than the individual benefit.
Dissertation

Norm based service selection

TL;DR: It is shown that social norms can be used by actors to reason over the potential cost of any interaction and that this metric can provide useful context when selecting partners where the services' basic inputs and outputs may match, but process model specifications may not.
Book ChapterDOI

Emergence of Social Rumor: Modeling, Analysis, and Simulations

TL;DR: The simple natural rules of rumor and anti-rumor information transmission are given, and the efficiency with which social rumors andAnti-rumors (agent claims that rumor information is false or doesn't exist) are achieved are investigated.
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, +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

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.