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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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Journal Article

Behaviour-based Knowledge Systems: An Epigenetic Path from Behaviour to Knowledge

TL;DR: The requirements and stages for developing behaviour-based knowledge systems are exposed, believing that these are necessary conditions for the development of higher order cognitive capacities, in artificial and natural cognitive systems.
Book ChapterDOI

Defining a Decision-Support Framework in AC3M

TL;DR: This paper shows how the relationship between Belief-Desire-Intention (BDI) and Observe-Orient-Decide-Act (OODA) architectures, coordination and cooperation can promote decision-making processes in MASs.

Cooperative Lane Change Assistant: Background, Implementation & Evaluation.

TL;DR: In this contribution theoretical background, used methods, implementation of the C-LCA, results of its evaluation and lessons learned are described.
Proceedings ArticleDOI

Don't Lose Sight of the Forest: Why the Big Picture of Social Intelligence is Essential

TL;DR: It is argued here that these (and other) facets of social intelligence are inextricably linked, and that the authors should only attempt to model them in isolation if they know what the implications of ignoring the other facets will be on model outcomes.
Posted Content

Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey.

TL;DR: The Causal XRL Framework (CXF) as mentioned in this paper is a conceptual framework that unifies the current XRL research and uses RL as a backbone to the development of Broad-XAI.
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.