Using BATNAs and WATNAs in online dispute resolution

When contracting through software agents, disputes will inevitably arise. Thus there is an urgent need to find alternatives to litigation for resolving conflicts. Methods of Online Dispute Resolution (ODR) need to be considered to resolve such disputes. Having agents understanding what the dispute is about, managing all interaction between the parties and even formulating proposed solutions is an important innovation. Hence it is of the utmost relevance that the agents may be able to recognise and evaluate the facts, the position of the parties and understand all the relevant data. In many circumstances, risk management and avoidance will be a crucial point to be considered. In this sense we analyze the usefulness of a parallel concept to BATNA – Best Alternative to Negotiated Agreement, that of a WATNA – Worst Alternative to Negotiated Agreement, allowing the software agents to consider the space between BATNA and WATNA as a useful element to be taken into account when making or accepting a proposal. These software agents embodied with intelligent techniques are integrated in an architecture designed to provide support to the ODR in a system we have developed for the resolution of labour disputes - UMCourt. In this context software agents are used to compute and provide the parties with the best and worst alternative to a negotiated agreement.TIARAC - Telematics and Artificial Intelligence in Alternative Conflict Resolution Project (PTDC/JUR/71354/2006)Fundação para a Ciência e a Tecnologia (FCT

A Survey on Legal Question Answering Systems

Many legal professionals think that the explosion of information about local, regional, national, and international legislation makes their practice more costly, time-consuming, and even error-prone. The two main reasons for this are that most legislation is usually unstructured, and the tremendous amount and pace with which laws are released causes information overload in their daily tasks. In the case of the legal domain, the research community agrees that a system allowing to generate automatic responses to legal questions could substantially impact many practical implications in daily activities. The degree of usefulness is such that even a semi-automatic solution could significantly help to reduce the workload to be faced. This is mainly because a Question Answering system could be able to automatically process a massive amount of legal resources to answer a question or doubt in seconds, which means that it could save resources in the form of effort, money, and time to many professionals in the legal sector. In this work, we quantitatively and qualitatively survey the solutions that currently exist to meet this challenge.Comment: 57 pages, 1 figure, 10 table

Automatic classification of personal conflict styles in conflict resolution

Carneiro D., Gomes M., Novais P., Andrade F., Neves J. Automatic Classification of Personal Conflict Styles in Conflict Resolution. In Legal Knowledge and Information Systems - JURIX 2011: The Twenty-Fourth Annual Conference, Katie M. Atkinson (Ed), IOS Press - Frontiers in Artificial Intelligence and Applications, Vol. 235, ISBN 978-1-60750-980-6, pp 43-52, 2011.The use of technology to support conflict resolution is nowadays well established. Moreover, technological solutions are not only used to solve traditional conflicts but also to solve conflicts that emerge in virtual environments. Therefore, a new field of research has been developing in which the use of Artificial Intelligence techniques can significantly improve the conflict resolution process. In this paper we focus on developing conflict resolution models that are able to classify the disputant parties according to their personal conflict style. Moreover, we present a dynamic conflict resolution model that is able to use that information to adapt strategies in real time according to significant changes in the context of interaction. To do it we follow a novel approach in which an intelligent environment supports the lifecycle of the conflict resolution model with the provision of important context knowledge.The work described in this paper is included in TIARAC - Telematics and Artificial Inte lligence in Alternative Conflict Resolution Project (PTDC/JUR/71354/2006), which is a research project supported by FCT (Science & Technology Foundation), Portugal. The work of Davide Carneiro is also supported by a doctoral grant by FCT (SFRH/BD/64890/2009)

Using mediation to solve disputes with avoiding parties

In virtually every environment there is the chance that, sooner or later, a dispute will arise. Disputes can take place in the most different scenarios and concern the most different subjects. With the advent of the telecommunication technologies, disputes also started to take place in virtual environments. In order to settle these new disputes, Online Dispute Resolution tools started to emerge. In this paper we present one of such tools, aimed at supporting mediation between two or more parties. Specifically, this tool looks at past known mediation processes and tries to guide the process into a successful outcome. It targets scenarios in which one or more party exhibits avoiding or uncooperative conflict styles, i.e., the party cannot or is not willing to generate valid proposals for dispute resolution.Fundação para a Ciência e a Tecnologia (FCT) - TIARAC - Telematics and Artificial Intelligence in Alternative Conflict Resolution Project (PTDC/JUR/71354/2006

Using genetic algorithms to create solutions for conflict resolution

The process of devising solutions for conflict resolution generally configures a challenging task. There exist different approaches to address the problem, namely the use of case-based models or even relying on the parties themselves to perform the task. From a computational point of view, these problems generally represent a NP-complete problem. In order to surpass this shortcoming, in this paper it is presented a biologically inspired method to deal with the problem in which genetic algorithms are used to create possible solutions for a given dispute. The approach presented is able to generate a broad number of diverse solutions that cover virtually the whole search space for a given problem. This approach provides better results than a case-based approach since: (1) it is independent of the legal domain and (2) it does not depend on the number and quality of cases present in a database. The results of this work are being applied in a negotiation tool that is part of the UMCourt conflict resolution platform.The work described here was developed under the TIARAC-Telematics and Artificial Intelligence in Alternative Conflict Resolution research project (PTDC/JUR/71354/2006), a research project supported by FCT (Science & Technology Foundation), Portugal. The work of Davide Carneiro was supported by a doctoral grant, also by FCT (SFRH/BD/64890/2009)

Context-aware environments for online dispute resolution

Virtual environments, such as Online Dispute Resolution, don’t have the rich context of traditional environments do. We are developing a computational environment that can better support the decision-making process of experts by providing access to meaningful context information, allowing the intervenor to take better supported decisions. The resulting system is able to transparently acquire information about user’s state, including stress or conflict resolution style

Harnessing content and context for enhanced decision making

In a time in which a significant amount of interpersonal interactions take place online, one must enquire to which extent are these milieus suitable for supporting the complexity of our communication. This is especially important in more sensitive domains, such as the one of Online Dispute Resolution, in which inefficient communication environments may result in misunderstandings, poor decisions or the escalation of the conflict. The conflict manager, in particular, may find his skills severely diminished, namely in what concerns the accurate perception of the state of the parties. In this paper the development of a rich communication framework is detailed that conveys contextual information about their users, harnessed from the transparent analysis of their behaviour while communicating. Using it, the conflict manager may not only better perceive the conflict and how it affects each party but also take better contextualized decisions, closer to the ones taken in face-to-face settings.This work is part-funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT { Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012) and project PEst- OE/EEI/UI0752/2014

Developing dynamic conflict resolution models based on the interpretation of personal conflict styles

Proceedings of the 15th Portuguese conference on Artificial Intelligence - (EPIA 2011), Lisboa, Portugal, 2011.Conflict resolution is a classic field of Social Science research. However, with conflicts now also emerging in virtual environments, a new field of research has been developing in which Artificial Intelligence and particularly Ambient Intelligence are interesting. As result, the field of Online Dispute Resolution emerged as the use (in part or entirely) of technological tools to solve disputes. In this paper we focus on developing conflict resolution models that are able to adapt strategies in real time according to changes in the personal conflict styles of the parties. To do it we follow a novel approach in which an intelligent environment supports the lifecycle of the conflict resolution model with the provision of important context knowledge. The presented framework is able to react to important changes in the context of interaction, resulting in a conflict resolution approach that is able to perceive the parties and consequently achieve better outcomes.The work described in this paper is included in TIARAC - Telematics and Artificial Intelligence in Alternative Conflict Resolution Project (PTDC/JUR/71354/2006), which is a research project supported by FCT (Science & Technology Foundation), Portugal