Angela Fabregues
Autonomous University of Barcelona
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Publication
Featured researches published by Angela Fabregues.
Engineering Applications of Artificial Intelligence | 2011
Angela Fabregues; Carles Sierra
There is a chronic lack of shared application domains to test advanced research models and agent negotiation architectures in Multiagent Systems. In this paper we introduce a friendly testbed for that purpose. The testbed is based on The Diplomacy Game where negotiation and the relationships between players play an essential role. The testbed profits from the existence of a large community of human players that know the game and can easily provide data for experiments. We explain the infrastructure in the paper and make it freely available to the AI community.
decision support systems | 2014
Angela Fabregues; Carles Sierra
In this paper we propose HANA, a software architecture for agents that need to bilaterally negotiate joint plans of action in realistic scenarios. These negotiations may involve humans and are repeated along time. The architecture is based on a BDI model that represents the uncertainty on the environment as graded beliefs, desires and intentions. The architecture is modular and can easily be extended by incorporating different models (e.g. trust, intimacy, personality, normative...) that update the set of beliefs, desires or intentions. The architecture is dynamic as it monitors the environment and updates the beliefs accordingly. We introduce an innovative search&negotiation method that facilitates HANA agents to cope with huge spaces of joint plans. This method implements an anytime search algorithm that generates partial plans to feed the negotiation process. At the same time the negotiation guides the search towards joint plans that are more likely to be accepted.
ieee international conference on digital ecosystems and technologies | 2009
Angela Fabregues; Jordi Madrenas-Ciurana; Carles Sierra; John K. Debenham
Autonomous entities in a digital ecosystem are expected to interact, negotiate and make agreements. The work introduced in this paper focuses on how these autonomous entities evaluate and rank the other participants in the digital ecosystem using past experiences. These past experiences allow agents to learn a probabilistic model of the behaviour of the others. We introduce a trust measure based on this probabilistic model of behaviour and a software tool that helps in the decision making process of how to choose the right partner for our next agreemeent.
Computer Networks | 2015
Carlos Borrego; Sergi Robles; Angela Fabregues; Adrián Sánchez-Carmona
In this paper, we introduce software code to improve Delay and Disruption Tolerant Networking (DTN) performance. DTN is extremely useful when source and destination nodes are intermittently connected. DTN implementations use application-specific routing algorithms to overcome those limitations. However, current implementations do not support the concurrent execution of several routing algorithms. In this paper, we contribute to this issue providing a solution that consists on extending the messages being communicated by incorporating software code for forwarding, lifetime control and prioritisation purposes. Our proposal stems from the idea of moving the routing algorithms from the host to the message. This solution is compatible with Bundle Protocol (BP) and facilitates the deployment of applications with new routing needs. A real case study based on an emergency scenario is presented to provide details of a real implementation. Several simulations are presented to prove the feasibility and usability of the system and to analyse its performance in comparison to state-of-the-art approaches.
Agreement Technologies (Law, Governance and Technology Series) | 2013
Toni Penya-Alba; Boris Mikhaylov; Marc Pujol-Gonzalez; Bruno Rosell; Jesús Cerquides; Juan A. Rodríguez-Aguilar; Marc Esteva; Angela Fabregues; Jordi Madrenas; Carles Sierra; Carlos Carrascosa; Vicente Julián; Mario Rodrigo; Matteo Vasirani
This chapter describes an environment to support the rapid assembly of agent-oriented business collaborations. Our environment allows: (i) setting up a collaboration environment as a virtual organization; (ii) reaching agreements within the collaboration environment to form short-term business collaborations; (iii) enacting business collaborations; and (iv) tracking the performance of agents within business collaborations to build their trust and reputation within the collaboration environment.
conference on artificial intelligence research and development | 2010
Angela Fabregues; Carles Sierra
adaptive agents and multi agents systems | 2010
Angela Fabregues; David Navarro; Alejandro Serrano; Carles Sierra
adaptive agents and multi agents systems | 2009
Angela Fabregues; Jordi Madrenas-Ciurana
Archive | 2009
Angela Fabregues; Carles Sierra
Archive | 2011
Angela Fabregues; David López-Paz; Carles Sierra