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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

Distributed Intelligence at the Edge on IoT Networks

TL;DR: In this article, the distributed intelligence at the Edge on IoT Networks, applications, opportunities, challenges and future scopes have been presented.
Dissertation

Informing dialogue strategy through argumentation-derived evidence

TL;DR: This thesis proposes a novel combination of techniques that takes into consideration the policies that others may be operating with, and presents an agent decision-making mechanism where models of other agents are used to guide future argumentation strategy.
Journal ArticleDOI

Social cooperation in autonomous agents to avoid the tragedy of the commons

TL;DR: This study shows that if the agents are willing to sacrifice for some period of time, the sustainability of the society increases considerably, and proposes algorithms to capture the different behaviors of the agents with and without interaction among the agents.
Posted Content

Towards Social Identity in Socio-Cognitive Agents

TL;DR: A socio-cognitive agent model based on the concept of cognitive social frames that allow the adaptation of an agent’s cognition based on its interpretation of its surroundings, its social context is proposed.

Understanding Social Interactions Using Incremental Abductive Inference

TL;DR: A computational approach to key aspects of understanding social interactions is presented, and earlier work on UMBRA, an abductive system for single-agent plan understanding, is reviewed and extensions that let it deal with multiagent scenarios are described.
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.