CollectiveMind
CollectiveMind

CollectiveMind
CollectiveMind
 : 
A cognitive approach for modelling and reasoning over shared experiences
A cognitive approach for modelling and reasoning over shared experiences

A Project coordinated by IIIA.

Web page:

Principal investigator: 

Collaborating organisations:

Funding entity:

El Ministerio de Economía y Competitividad, CONVOCATORIA 2013 - EXPLORA, TEC2013-49430-EXP (funding: € 90,750)
El Ministerio de Economía y Competitividad, CONVOCATORIA 2013 - EXPLORA, TEC2013-49430-EXP (funding: € 90,750)

Funding call:

Funding call URL:

Project #:

TEC2013-49430-EXP
TEC2013-49430-EXP

Total funding amount:

0,00€
0,00€

IIIA funding amount:

Duration:

01/Sep/2014
01/Sep/2014
30/Jan/2017
30/Jan/2017

Extension date:

Our dependance on intelligent agents in our everyday lives is steadily increasing, as we become more and more reliant on the appliances and gadgets surrounding us. This demands an efficient human-agent collaboration. CollectiveMind presents an original and bold approach for human-agent collaboration. It proposes the creation of a collective mind, which maintains past shared experiences and has a reasoner that builds a model of the group based on those experiences. This accelerates negotiation and argumentation to reach mutual agreements based on the accumulation of shared experiences. CollectiveMind follows a cognitive approach that is more intuitive for humans to comprehend, which we believe is a must in mixed human-agent societies. The project will first investigate and introduce the notion of experience to the epistemic state of individual agents. This situates agents in their environments and closes the BDI circle: experiences shape beliefs, which influence desires and intentions, leading to new experiences. Using the notion of shared experience as a primitive construct, we will then develop a novel formal model of shared intention which we believe more adequately describes and motivates social behaviour than traditional BDI logics that focus on modelling individual agents. Whilst many philosophers have strongly argued that collective intentionality cannot always be equated to the collection of the individual agents, there has been no AI model that has gone beyond the simple aggregation of individuals agents. We hope that our proposal will shed light on the collective mind concept from an AI perspective. This project will investigate the concepts of experience and collective intentionality. Some of the expected results include a formal model of shared experience to underpin collective intentionality, an experience-based BDI logic for reasoning over collective intentionality, and a corresponding experience-based BDI reasoner.
Our dependance on intelligent agents in our everyday lives is steadily increasing, as we become more and more reliant on the appliances and gadgets surrounding us. This demands an efficient human-agent collaboration. CollectiveMind presents an original and bold approach for human-agent collaboration. It proposes the creation of a collective mind, which maintains past shared experiences and has a reasoner that builds a model of the group based on those experiences. This accelerates negotiation and argumentation to reach mutual agreements based on the accumulation of shared experiences. CollectiveMind follows a cognitive approach that is more intuitive for humans to comprehend, which we believe is a must in mixed human-agent societies. The project will first investigate and introduce the notion of experience to the epistemic state of individual agents. This situates agents in their environments and closes the BDI circle: experiences shape beliefs, which influence desires and intentions, leading to new experiences. Using the notion of shared experience as a primitive construct, we will then develop a novel formal model of shared intention which we believe more adequately describes and motivates social behaviour than traditional BDI logics that focus on modelling individual agents. Whilst many philosophers have strongly argued that collective intentionality cannot always be equated to the collection of the individual agents, there has been no AI model that has gone beyond the simple aggregation of individuals agents. We hope that our proposal will shed light on the collective mind concept from an AI perspective. This project will investigate the concepts of experience and collective intentionality. Some of the expected results include a formal model of shared experience to underpin collective intentionality, an experience-based BDI logic for reasoning over collective intentionality, and a corresponding experience-based BDI reasoner.
2018
Ewa Andrejczuk,  Juan A. Rodríguez-Aguilar,  & Carles Sierra (2018). Collaborative Rankings. Fundamenta Informaticae, 158, 277-295. [BibTeX]
2015
Dave de Jonge,  Juan A. Rodríguez-Aguilar,  Bruno Rosell,  & Carles Sierra (2015). Infrastructures to Engineer Open Agent Environments by Means of Electronic Institutions. Danny Weyns, & Fabien Michel (Eds.), Agent Environments for Multi-Agent Systems IV (pp 232-254). Springer. [BibTeX]  [PDF]
Nardine Osman
Tenured Scientist
Phone Ext. 431826

Carles Sierra
Research Professor
Phone Ext. 431801