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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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Book ChapterDOI

OWL-POLAR: semantic policies for agent reasoning

TL;DR: This paper argues for a language that sufficiently expresses the types of policies essential in practical systems, and which enables both policy-governed decision-making and policy analysis within the bounds of decidability, and proposes an OWL-based representation of policies that meets these criteria.

Formal Ontology of Action: a Unifying Approach

Robert Trypuz
TL;DR: OntoSTIT+ is a theory which specifies the meaning of the concepts of agency and action, and facilitates meaning negotiation among agents, as long as the concept of action is taken into account.
Journal ArticleDOI

Modelling and simulation of social systems with INGENIAS

TL;DR: This work proposes the use of a graphical agent-oriented language for the specification of social simulation models, and for transforming (automatically) these models to code for an agent-based simulation toolkit.
Journal ArticleDOI

Respective demands of task and function allocation on human-machine co-operation design: A psychological approach

TL;DR: This paper discusses principles on the basis of experimental results taken from a series of studies on human-machine cooperation in air traffic control, regarding dynamic allocation of activities between the agents and function delegation.

Modelling Sociality in the BDI Framework

TL;DR: In this paper, a conceptual model for how the social nature of agents impacts upon their individual mental states is presented, where roles and social relationships provide an abstraction upon which they develop the notion of social mental shaping.
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.