【摘要】：在研討系統(tǒng)中,專家之間圍繞一個(gè)主題進(jìn)行研究討論,以一種相互發(fā)送爭(zhēng)議的勸說(shuō)對(duì)話形式解決沖突、達(dá)成共識(shí)。勸說(shuō)對(duì)話可以分為兩種類型,一種是爭(zhēng)議之間邏輯性較強(qiáng)、確定性的對(duì)話;一種是爭(zhēng)議之間推測(cè)較多,極具不確定性的對(duì)話。在一次研討中,由于專家知識(shí)的局限性,會(huì)出現(xiàn)研討不充分導(dǎo)致達(dá)成的共識(shí)不夠理性的情況。提取相關(guān)主題研討歷史中一致性的知識(shí)并構(gòu)建為知識(shí)庫(kù)可以給專家提供輔助支持作用。因此一次研討中不僅需要得到研討的結(jié)果,構(gòu)建一個(gè)有助于研討的輔助知識(shí)庫(kù)是十分必要的,這就需要對(duì)研討的勸說(shuō)對(duì)話建模以及對(duì)如何消除矛盾形成一致性的知識(shí)集進(jìn)行研究。在人工智能領(lǐng)域中,信念是智能體對(duì)周圍環(huán)境的認(rèn)知。由于信念的動(dòng)態(tài)性以及不確定性,信念之間會(huì)出現(xiàn)因?yàn)槊芏鴮?dǎo)致信念集不相容的情況。信念修正是消除這種矛盾使信念集相容的一種有效手段。將信念修正理論引入到研討系統(tǒng)中,能夠有效的篩選出對(duì)話中可接受的信念(知識(shí))并作為后續(xù)研討的參考,以彌補(bǔ)專家知識(shí)的局限性使最后達(dá)成理性的共識(shí)。本文的研究目標(biāo)是將信念修正方法引入到研討的勸說(shuō)對(duì)話中,最后得到一個(gè)可接受信念集。首先將知識(shí)形式化的表示,將研討中的知識(shí)信念形式化的表示為辯論理論中的事實(shí)和規(guī)則。然后對(duì)勸說(shuō)對(duì)話過(guò)程建模,根據(jù)爭(zhēng)議之間的攻擊、支援、反駁關(guān)系以及時(shí)間序列構(gòu)建為一個(gè)三元組的辯論對(duì)話框架。最后基于該辯論對(duì)話框架提出了應(yīng)用于確定性對(duì)話的可辯護(hù)性(Defensibly)求解算法以及應(yīng)用于不確定對(duì)話的可信度(Certainty factor)求解算法�？赊q護(hù)性是用0和1來(lái)表示一個(gè)信念的可接受性,憑借爭(zhēng)議之間的攻擊關(guān)系自下而上的傳遞可辯護(hù)性�？尚哦仁菍�(duì)信念的一種概率性的體現(xiàn),用0~1之間的概率值來(lái)量化信念的置信程度,與可辯護(hù)性求解算法不同的是需要專家來(lái)對(duì)不確定性的規(guī)則做出相關(guān)評(píng)價(jià)。為驗(yàn)證本文提出的信念修正方法在研討的勸說(shuō)對(duì)話下具備有效性,本文利用Jade框架開(kāi)發(fā)了原型系統(tǒng),并就專家之間的確定性的和不確定性的勸說(shuō)對(duì)話實(shí)例問(wèn)題進(jìn)行相關(guān)合理性分析。結(jié)果表明,本文提出的勸說(shuō)對(duì)話的信念修正方法能夠在勸說(shuō)對(duì)話中有效的修正信念。
[Abstract]:In the research system, experts study and discuss a topic to resolve the conflict and reach a consensus by means of a form of persuasive dialogue that sends disputes to each other. Persuasive dialogue can be divided into two types, one is the logical and deterministic dialogue between disputes, the other is the dialogue with more speculation and uncertainty. In one study, due to the limitation of expert knowledge, the consensus reached by the study is not rational enough. Extracting the knowledge of historical consistency and constructing the knowledge base can provide support to experts. Therefore, it is necessary not only to obtain the results of a seminar, but also to build a knowledge base that is helpful to the study. Therefore, it is necessary to study the modeling of persuasive dialogue and the consistent knowledge set on how to eliminate contradictions. In the field of artificial intelligence, belief is the agent's understanding of the surrounding environment. Because of the dynamic and uncertainty of belief, the incompatibility of belief set will occur due to the contradiction between beliefs. Belief correction is an effective means to eliminate this contradiction and make belief set compatible. By introducing the belief correction theory into the research system, we can effectively screen out the acceptable beliefs (knowledge) in the dialogue and make up for the limitation of the expert knowledge so as to reach a rational consensus in the end. The aim of this paper is to introduce the belief correction method into the persuasive dialogue, and finally to obtain an acceptable belief set. Firstly, the formal representation of knowledge and the representation of knowledge belief in the discussion are formalized as the facts and rules in the debate theory. Then, the process of persuasion dialogue is modeled and constructed into a triple debate dialogue framework according to the attack, support, refutation relation and time series. Finally, based on the framework of the debate dialogue, the defensible (Defensibly) solution algorithm for deterministic dialogue and the credibility (Certainty factor) solution algorithm for uncertain dialogs are proposed. Defensibility is to express the acceptability of a belief by 0 and 1. Credibility is the embodiment of probability of belief. Using the probability value between 0 and 1 to quantify the confidence degree of belief, different from the defensible algorithm, it needs experts to evaluate the uncertainty of the rules. In order to verify the validity of the proposed belief correction method under the persuasive dialogue discussed in this paper, a prototype system is developed using the Jade framework. The rationality of the deterministic and uncertain persuasive dialogue between experts is analyzed. The results show that the belief correction method proposed in this paper can effectively correct beliefs in persuasive dialogue.
【學(xué)位授予單位】：湖北工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP18

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