scholarly journals Agreeing on Institutional Goals for Multi-agent Societies

2009 ◽  
pp. 1-16 ◽  
Author(s):  
Dorian Gaertner ◽  
Juan Antonio Rodríguez-Aguilar ◽  
Francesca Toni
Keyword(s):  
Institutional Goals ◽  
Agent Societies ◽  
Multi Agent

Hybrid Emotionally Aware Mediated Multiagency

2012 ◽  
pp. 1314-1329
Author(s):  
Giovanni Vincenti ◽  
James Braman
Keyword(s):  
Artificial Intelligence ◽  
Artificial Life ◽  
Consumer Products ◽  
Agent Societies ◽  
Everyday Lives ◽  
Agent Interaction ◽  
Multi Agent ◽  
Thinking Processes

Emotions influence our everyday lives, guiding and misguiding us. They lead us to happiness and love, but also to irrational acts. Artificial intelligence aims at constructing agents that can emulate thinking processes, but artificial life still lacks emotions and all the consequences that come from them. This work introduces an emotionally aware framework geared towards multi-agent societies. Basing our model on the shoulders of solid foundations created by pioneers who first explored the coupling of emotions and agency, we extend their ideas to include inter-agent interaction and virtual genetics as key components of an agent’s emotive state. We also introduce possible future applications of this framework in consumer products as well as research endeavors.

Norms of Behaviour and Their Identification and Verification in Open Multi-Agent Societies

2011 ◽  
Vol 3 (3) ◽  
pp. 1-16 ◽  
Author(s):  
Wagdi Alrawagfeh ◽  
Edward Brown ◽  
Manrique Mata-Montero
Keyword(s):  
Heterogeneous Agents ◽  
Software Agents ◽  
Software Framework ◽  
Agent Societies ◽  
Design Time ◽  
Multi Agent ◽  
Internal Architecture

Norms have an obvious role in the coordinating and predicting behaviours in societies of software agents. Most researchers assume that agents already know the norms of their societies beforehand at design time. Others assume that norms are assigned by a leader or a legislator. Some researchers take into account the acquisition of societies’ norms through inference. Their works apply to closed multi-agent societies in which the agents have identical (or similar) internal architecture for representing norms. This paper addresses three things: 1) the idea of a Verification Component that was previously used to verify candidate norms in multi-agent societies, 2) a known modification of the Verification Component that makes it applicable in open multi-agent societies, and 3) a modification of the Verification Component, so that agents can dynamically infer the new emerged and abrogated norms in open multi-agent societies. Using the JADE software framework, we build a restaurant interaction scenario as an example (where restaurants usually host heterogeneous agents), and demonstrate how permission and prohibition of behavior can be identified by agents using dynamic norms.

Norm Emergence in Multi-Agent Societies

2011 ◽  
pp. 195-206
Author(s):  
Bastin Tony Roy Savarimuthu ◽  
Maryam Purvis ◽  
Stephen Cranefield
Keyword(s):  
Software Agents ◽  
Experimental Results ◽  
Multi Agent System ◽  
Artificial Agent ◽  
Agent System ◽  
Agent Societies ◽  
Multi Agent ◽  
Norm Emergence

Norms are shared expectations of behaviours that exist in human societies. Norms help societies by increasing the predictability of individual behaviours and by improving cooperation and collaboration among members. Norms have been of interest to multi-agent system researchers, as software agents intend to follow certain norms. But, owing to their autonomy, agents sometimes violate norms, which needs monitoring. In order to build robust MAS that are norm compliant and systems that evolve and adapt norms dynamically, the study of norms is crucial. Our objective in this chapter is to propose a mechanism for norm emergence in artificial agent societies and provide experimental results. We also study the role of autonomy and visibility threshold of an agent in the context of norm emergence.

scholarly journals Hydrodynamic Models of Preference Formation in Multi-agent Societies

2019 ◽  
Vol 29 (6) ◽  
pp. 2761-2796 ◽  
Author(s):  
Lorenzo Pareschi ◽  
Giuseppe Toscani ◽  
Andrea Tosin ◽  
Mattia Zanella
Keyword(s):  
Hydrodynamic Models ◽  
Preference Formation ◽  
Agent Societies ◽  
Multi Agent

Multi-Agent Societies for Collaborative Interaction

1996 ◽  
Vol 40 (15) ◽  
pp. 762-766 ◽  
Author(s):  
Robin R. Penner
Keyword(s):  
Process Management ◽  
Social Structures ◽  
Management Systems ◽  
Interface Model ◽  
Agent Architecture ◽  
Situated Action ◽  
Agent Behavior ◽  
Agent Societies ◽  
Multi Agent ◽  
Collaborative Interaction

The application of a multi-agent architecture to the design and operation of automated process management systems is proving to be a fruitful method of facilitating human-system collaboration. The agent architecture we are developing is intended to be applied in environments where humans and automated systems jointly perform information intensive tasks, and is based on an organization of multiple agents, where both human and software agents are integrated members in groups akin to human societies. Important features of our architecture include an organization based on social structures, a user interface model based on a collaborative interaction metaphors, and a situated action paradigm for agent behavior.

Compatibility between the local and social performances of multi-agent societies

2009 ◽  
Vol 36 (3) ◽  
pp. 4443-4450 ◽  
Author(s):  
Yichuan Jiang ◽  
Jiuchuan Jiang ◽  
Toru Ishida
Keyword(s):  
Agent Societies ◽  
Multi Agent

An Intelligent Agents and Multi-Agent Systems Course Involving NetLogo

2011 ◽  
pp. 26-50 ◽  
Author(s):  
Ilias Sakellariou ◽  
Petros Kefalas ◽  
Ioanna Stamatopoulou
Keyword(s):  
Learning Curve ◽  
Intelligent Agents ◽  
Multi Agent Systems ◽  
Agent Based ◽  
Agent Systems ◽  
Agent Societies ◽  
Agent Communication Language ◽  
Complex Agent ◽  
Language Communication ◽  
Multi Agent

In the context of an Agent and Multi-Agent Systems course, exposing students to problems and issues related to agent-based programming allows them to understand at a deeper level the otherwise theoretical aspects involved in the design of a multi-agent system (MAS). Indeed, educators have reported a variety of environments and techniques they use in order to increase active learning. The authors argue that NetLogo presents an excellent platform for the task, since it provides, among other interesting features, a small learning curve and an easy to setup visualization environment. This chapter records their experience in teaching a MAS course, using NetLogo as the vehicle for practical coursework. In addition, two extra NetLogo libraries that were provided to students are described, one for BDI-like agents (Belief-Desire-Intention, i.e. goal-oriented agents) and one for ACL-like (Agent Communication Language) communication, which were specifically developed for allowing students to implement more complex agent societies than the original NetLogo platform allowed.

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