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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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Proceedings Article

Efficient representation and effective reasoning for multi-agent systems

TL;DR: The approach is to apply the notions of modality and non-monotonic reasoning to formalise and to confront the problem of incomplete and conflicting information when modelling multi-agent systems.
Proceedings Article

A Framework to Clarify the Role of Knowledge Management Systems.

TL;DR: A conceptual model of KMS is presented which adapts an artificial intelligence (AI) based view of knowledge which suggests that whether an IT application is classified as KMS or IS depends on the contents it manages and to increase the effectiveness of K MS, it is often necessary to use IS that complement the KMS.
Journal ArticleDOI

Simulated Perceptions for Emergent Storytelling

TL;DR: A perception model for simulation‐based story generation that introduces errors into characters' knowledge, (mis)leading them to non‐optimal, but still coherent, believable actions is presented.
Book ChapterDOI

Luhmanns Systemtheorie aus der Sicht der Verteilten Künstlichen Intelligenz

Jörg Wellner
TL;DR: In this article, the Luhmann-sche Systemtheorie aus Sicht der Verteilten Kunstlichen Intelligenz is betrachtet, in which analytische Denkweise verfolgt and Erklarungen fur soziale Phanomene sucht.
Book ChapterDOI

Agents with a Theory of Mind in Virtual Training

TL;DR: This chapter describes an executable model for agents with a theory of mind, based on the BDI (belief desire intention) approach, to develop agents that display believable social behavior and provide explanations about their behavior.
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.