Persuasion Dialogue in Online Dispute Resolution

In this paper we show how dialogue-based theories of argumentation can contribute to the construction of effective systems of dispute resolution. Specifically we consider the role of persuasion in online dispute resolution by showing how persuasion dialogues can be functionally embedded in negotiation dialogues, and how negotiation dialogues can shift to persuasion dialogues. We conclude with some remarks on how persuasion dialogues might be modelled is such a way as to allow them to be implemented in a mechanical or computerized system of dialogue or dialogue management.     

A Dialogue Game Protocol for Multi-Agent Argument over Proposals for Action

We present the syntax and semantics for a multi-agent dialogue game protocol which permits argument over proposals for action. The protocol, called the Persuasive Argument for Multiple Agents (PARMA) Protocol, embodies an earlier theory by the authors of persuasion over action which enables participants to rationally propose, attack, and defend, an action or course of actions (or inaction). We present an outline of both an axiomatic and a denotational semantics, and discuss implementation of the protocol, in the context of both human and artificial agents.     

Local Logics, Non-Monotonicity and Defeasible Argumentation

In this paper we present an embedding of abstract argumentation systems into the framework of Barwise and Seligmans logic of information flow. We show that, taking P.M. Dungs characterization of argument systems, a local logic over states of a deliberation may be constructed. In this structure, the key feature of non-monotonicity of commonsense reasoning obtains as the transition from one local logic to another, due to a change in certain background conditions. Each of Dungs extensions of argument systems leads to a corresponding ordering of background conditions. The relations among extensions becomes a relation among partial orderings of background conditions. This introduces a conceptual innovation in Barwise and Seligmans representation of commonsense reasoning.     

图形语义在平面设计中的应用

目的探究图形语义在平面设计中的应用策略及注意事项。方法以图形语义的基本概念为基础,分招贴设计、广告设计、包装设计3方面举例论证图形语义在平面设计中的实际应用,再结合时代的发展趋势解读图形语义在平面设计中的注意事项。结论图形语义在平面设计中有着重要的解释说明和营造氛围效果的作用,只要对其进行恰当、灵活地应用,必定能够为现代平面设计领域提供更多的灵感来源。     

Hybrid job offer recommender system in a social network

Recommender systems (RSs) play a very important role in web navigation, ensuring that the users easily find the information they are looking for. Today's social networks contain a large amount of information and it is necessary that they employ a mechanism that will guide users to the information they are interested in. However, to be able to recommend content according to user preferences, it is necessary to analyse their profiles and determine their preferences. The present work proposes a job offer RS for a career‐oriented social network. The recommendation system is a hybrid, it consists of a case‐based reasoning (CBR) system and an argumentation framework, based on a multi‐agent system (MAS) architecture. The CBR system uses a series of metrics and similar cases to decide whether a job offer is likely to be recommended to a user. Besides, the argumentation framework extends the system with an argumentation CBR, through which old and similar cases can be obtained from the CBR system. Finally, a discussion process is established amongst the agents who debate using their experience from past cases to take a final decision.     

Knowledge and information distribution leveraged by intelligent agents

Knowledge and Information distribution is indeed one of the main processes in Knowledge Management. Today, most Information Technology tools for supporting this distribution are based on repositories accessed through Web-based systems. This approach has, however, many practical limitations, mainly due to the strain they put on the user, who is responsible of accessing the right Knowledge and Information at the right moments. As a solution for this problem, we have proposed an alternative approach which is based on the notion of delegation of distribution tasks to synthetic agents, which become responsible of taking care of the organization's as well as the individuals' interests. In this way, many Knowledge and Information distribution tasks can be performed on the background, and the agents can recognize relevant events as triggers for distributing the right information to the right users at the right time.In this paper, we present the JITIK approach to model knowledge and information distribution, giving a high-level account of the research made around this project, emphasizing two particular aspects: a sophisticated argument-based mechanism for deciding among conflicting distribution policies, and the embedding of JITIK agents in enterprises using the service-oriented architecture paradigm. It must be remarked that a JITIK-based application is currently being implemented for one of the leading industries in Mexico.     

关键语义信息补足的深度文本聚类算法

针对大多数现有的深度文本聚类方法在特征映射过程中过于依赖原始数据质量以及关键语义信息丢失的问题,提出了一种基于关键语义信息补足的深度文本聚类算法(DCKSC)。该算法首先通过提取关键词数据对原始文本数据进行数据增强;其次,设计了一个关键语义信息补足模块对传统的自动编码器进行改进,补足映射过程中丢失的关键语义信息;最后,通过综合聚类损失与关键词语义自动编码器的重构损失学习适合于聚类的表示特征。实验证明,提出算法在五个现实数据集上的聚类效果均优于当前先进的聚类方法。聚类结果证明了关键语义信息补足方法和文本数据增强方法对深度文本聚类的重要性。     

TOWARD A COMPUTATIONAL ANALYSIS OF PROBABILISTIC ARGUMENTATION FRAMEWORKS

In this article we analyze probabilistic argumentation frameworks (PAFs), defined as an extension of Dung abstract argumentation frameworks in which each argument n is asserted with a probability p_n. The debate around PAFs has so far centered on their theoretical definition and basic properties. This work contributes to their computational analysis by proposing a first recursive algorithm to compute the probability of acceptance of each argument under grounded and preferred semantics and by studying the behavior of PAFs with respect to reinstatement, cycles, and changes in argument structure. The computational tools proposed may provide strategic information for agents selecting the next step in an open argumentation process and they represent a contribution in the debate about gradualism in abstract argumentation.     

基于类比论证法的CXK5463加工中心工作台可靠性预计

CXK5463是专为加工某重要零件而设计的重型车铣加工中心。针对该单台加工中心工作台在设计阶段试验数据缺乏,没有公认的、普遍适用的可靠性预计方法的现状,利用相似机床CK5250、CK5263和TK6920的试验数据,结合加工中心特点,运用相似产品类比论证法,建立了工作台可靠性预计数学模型,进行了可靠性预计。预计发现主传动箱是工作台可靠性的薄弱环节。最后采集相似型号机床故障信息,对工作台主传动箱故障模式进行分析,并提出了工作台主传动箱可靠性设计改进建议。     

Context-based multi-level information fusion for harbor surveillance

Harbor surveillance is a critical and challenging part of maritime security procedures. Building a surveillance picture to support decision makers in detection of potential threats requires the integration of data and information coming from heterogeneous sources. Context plays a key role in achieving this task by providing expectations, constraints and additional information for inference about the items of interest. This paper proposes a fusion system for context-based situation and threat assessment with application to harbor surveillance. The architecture of the system is organized in two levels. The lowest level uses an ontological model to formally represent input data and to classify harbor objects and basic situations by deductive reasoning according to the harbor regulations. The higher level applies Belief-based Argumentation to evaluate the threat posed by suspicious vessels. The functioning of the system is illustrated with several examples that reproduce common harbor scenarios.