Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
Annals of Mathematics and Artificial Intelligence
Autonomous Agents and Multi-Agent Systems
Towards interest-based negotiation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
Argumentation-based negotiation
The Knowledge Engineering Review
Towards a formal framework for the search of a consensus between autonomous agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Adaptive agent negotiation via argumentation
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A unified and general framework for argumentation-based negotiation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A generative inquiry dialogue system
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
An Argumentation Framework for Communities of Web Services
IEEE Intelligent Systems
Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Autonomous Agents and Multi-Agent Systems
Argument-based learning communities
Knowledge-Based Systems
Measures for persuasion dialogs: A preliminary investigation
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Towards higher impact argumentation
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
On the benefits of exploiting underlying goals in argument-based negotiation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
On the Measurement of Negotiation Dialogue Games
Proceedings of the 2009 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the Eighth SoMeT_09
A taxonomy of argumentation models used for knowledge representation
Artificial Intelligence Review
Space-bounded reducibility among combinatorial problems
Journal of Computer and System Sciences
Representing dialogic argumentation
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Argumentative alternating offers
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Using argumentation to model and deploy agent-based B2B applications
Knowledge-Based Systems
A formal analysis of the outcomes of argumentation-based negotiations
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Deliberation dialogues for reasoning about safety critical actions
Autonomous Agents and Multi-Agent Systems
Knowing each other in argumentation-based negotiation
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
New developments in uncertainty assessment and uncertainty management
Expert Systems with Applications: An International Journal
ONTOarg: A decision support framework for ontology integration based on argumentation
Expert Systems with Applications: An International Journal
Formalizing dialectical explanation support for argument-based reasoning in knowledge-based systems
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Nowadays, multiagent systems have become a widely used technology in everyday life, and many authors have adopted the view of communication or interaction between agents as a joint activity regulated by means of dialogue games. Dialogue games are a set of communication rules that agents can combine in their complex interactions. In these games, uncertainty is an important problem that each agent faces when making decisions, especially in the absence of enough information. This paper focuses on the uncertainty in a particular type of dialogue games, namely argumentation-based negotiation. There exist several proposals on this type of dialogue games in the literature, and most of them are concerned with proposing protocols to show how agents can communicate with each other, and how arguments and offers can be generated, evaluated and exchanged. Nevertheless, none of them is directly targeting the agents' uncertainty about the exchanged arguments and how this uncertainty could be measured at each dialogue step to assist those agents make better decisions. The aim of this paper is to tackle this problem by defining a new set of uncertainty measures in negotiation dialogue games from an external agent's point of view. In particular, we introduce two types of uncertainty: Type I and Type II. Type I is about the uncertainty index of playing the right move. For this, we use Shannon entropy to measure: (i) the uncertainty index of the agent that he is selecting the right move at each dialogue step; and (ii) the uncertainty index of participating agents in the negotiation about the whole dialogue. This is done in two different ways; the first is by taking the average of the uncertainty index of all moves, and the second is by determining all possible dialogues and applying the general formula of Shannon entropy. Type II is about the uncertainty degree of the agent that the move will be accepted by the addressee. In this context, we introduce a new classification for the arguments based on their certainty to be accepted by the addressee.