Authentication Using Shared Knowledge: Learning Agents

2013 ◽  
pp. 523-531
Author(s):  
Vadim Kimlaychuk
Keyword(s):  
Shared Knowledge ◽  
Learning Agents ◽  
Knowledge Learning

Kekoherensian Wacana Iklan Komersial dalam Website Softbank: Kajian Analisis Wacana

Metahumaniora ◽  
2017 ◽  
Vol 7 (2) ◽  
pp. 115
Author(s):  
Desi Damayanti
Keyword(s):  
Data Analysis ◽  
Shared Knowledge ◽  
Rhetorical Structure ◽  
Coherence Relations ◽  
Coherence Factors

ABSTRAKJepang merupakan negara dengan tiga perusahaan telekomunikasi ternama didunia, salah satunya SoftBank, sehingga perusahaan tersebut menggunakan berbagaicara kreatif untuk mempromosikan produknya, termasuk melalui media iklankomersial. Sells dan Gonzalez (dalam Astuti, 2005:3) menyatakan bahwa bahasa dalamiklan sedikit menyimpang dari kaidah tata bahasa, yang mempengaruhi keterpaduanmaknanya (koherensi). Tujuan dari penelitian ini adalah untuk mengidentifikasipenanda kekoherensian, hubungan kekoherensian serta faktor penyebab terjadinyakekoherensian pada wacana iklan komersial dalam website SoftBank yang dianalisisberlandaskan pada teori struktur iklan Bolen (1984), struktur retorika Mann danThompson (1988) serta koherensi Ramlan (1993). Penulis menggunakan metodedeskriptif analisis dalam penelitian ini. Dari hasil analisis data, teridentifikasi bahwapenanda kekoherensian yang sering muncul berjenis perturutan, contohnya seperti“maka dari itu”. Kemudian terdapat tiga jenis hubungan koherensi yang sering munculdalam kedua belas wacana iklan komersial tersebut, yakni uraian, latar belakang danurutan. Faktor penyebab kekoherensian adalah adanya pengetahuan yang dibagibersama (shared knowledge) dari pengiklan kepada konsumen, sehingga konsumendapat mengetahui dan ingin tahu lebih lanjut mengenai isi iklan.Kata kunci: wacana, iklan komersial, koherensi, struktur iklan, struktur retorikaABSTRACTJapan is a country with top three telecommunication brand companies in theworld, one of them is Softbank. This company uses a variety of methods to promote theirproducts, including the use of commercial ads. Sells and Gonzalez (from Astuti, 2005:3)declare that ads have a bit linguistic deviation that affecting the unity of meaning(coherence). The aim of this research is to identify the coherence markers, coherencerelations and coherence factors of SoftBank’s commercial adverting discourse (CAD)analyzed based on advertising theory from Bolen (1984) and rhetorical structure theoryfrom Mann and Thompson (1988) and Ramlan (1984). The writers use descriptivemethod in this research. The results of data analysis, it is identified that coherencemarkers like continuation are often used, for example “therefore”.Then, the twelve CADshave three kinds of coherence relations that often come in the CAD, such as elaboration,background, and sequence. The factor of the coherence is a sharing a knowledge fromadvertiser to consumer, so that consumer can be informed and want to know more aboutthe content of the ads.Keywords: discourse, commercial ads, coherence, ad’s structure, rhetorical structure

Negotiating about shared knowledge in a cooperative learning environment

1999 ◽  
Author(s):  
Hans-Rüdiger Pfister ◽  
Martin Wessner ◽  
Torsten Holmer ◽  
Ralf Steinmetz
Keyword(s):  
Cooperative Learning ◽  
Learning Environment ◽  
Shared Knowledge

The Relations between Cultural Life Scripts, Individual Life Stories, and Psychological Distress

2020 ◽  
Author(s):  
Michele Anne ◽  
Steve M. J. Janssen
Keyword(s):  
Cognitive Processing ◽  
Life Story ◽  
Well Being ◽  
Shared Knowledge ◽  
Trauma Symptoms ◽  
Individual Life ◽  
Significant Events ◽  
Cultural Life ◽  
Positive Individual ◽  
Life Scripts

Cultural Life Scripts (CLS) are shared knowledge about personal events expected to be experienced by individuals within a society, and used as a framework for life story narration. Differences in CLS for individuals with depression and trauma, and their relations to anxiety, stress, and well-being, have not been investigated. Malaysian participants (N = 120) described and rated seven significant events most likely to be experienced by a prototypical infant from their culture, and seven significant events they had experienced or expected to experience in their own life. Participants then answered questionnaires about depression and trauma symptoms and about anxiety, stress, and well-being. The subclinical depression group listed less typical CLS events, whereas the subclinical PTSD group listed less positive individual life story events. The findings indicate that, although individuals with depression and trauma possess knowledge of the CLS, there may be small differences in the cognitive processing of CLS and individual life story events.

Exploratory and Exploitative Knowledge Learning by Investment Analysts

2008 ◽  
Author(s):  
Waymond Rodgers ◽  
Lisbeth Hedelin ◽  
Thomas Housel ◽  
Randy Kuhn
Keyword(s):  
Knowledge Learning

“This Purgatory Is Useful”

2017 ◽  
Author(s):  
Padraic Kenney
Keyword(s):  
Northern Ireland ◽  
Opportunity To Learn ◽  
Foreign Languages ◽  
Shared Knowledge ◽  
New Approaches ◽  
Political Experience ◽  
British Rule ◽  
Common Activity ◽  
Robben Island

Prisoners and their supporters often refer to the experience as a “prison university.” Time in prison among people of the same movement gave prisoners the opportunity to learn and to develop politically. Prisoners who might never have met outside grew together as they studied and shared knowledge. Disparities of knowledge and political experience made communal education possible. Everything from mathematics to foreign languages to the basics of ideology brought prisoners together in a common activity. Prisoners on Robben Island used the management of sports to hone their administrative abilities. IRA men in Long Kesh developed new approaches to the fight against British rule in Northern Ireland.

scholarly journals An Evaluation Methodology for Interactive Reinforcement Learning with Simulated Users

Biomimetics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Adam Bignold ◽  
Francisco Cruz ◽  
Richard Dazeley ◽  
Peter Vamplew ◽  
Cameron Foale
Keyword(s):  
Reinforcement Learning ◽  
Information Source ◽  
Human Interaction ◽  
Evaluation Methodology ◽  
External Information ◽  
Preliminary Evaluation ◽  
Learning Agents ◽  
Learning Agent ◽  
Knowledge Bias ◽  
The Impact

Interactive reinforcement learning methods utilise an external information source to evaluate decisions and accelerate learning. Previous work has shown that human advice could significantly improve learning agents’ performance. When evaluating reinforcement learning algorithms, it is common to repeat experiments as parameters are altered or to gain a sufficient sample size. In this regard, to require human interaction every time an experiment is restarted is undesirable, particularly when the expense in doing so can be considerable. Additionally, reusing the same people for the experiment introduces bias, as they will learn the behaviour of the agent and the dynamics of the environment. This paper presents a methodology for evaluating interactive reinforcement learning agents by employing simulated users. Simulated users allow human knowledge, bias, and interaction to be simulated. The use of simulated users allows the development and testing of reinforcement learning agents, and can provide indicative results of agent performance under defined human constraints. While simulated users are no replacement for actual humans, they do offer an affordable and fast alternative for evaluative assisted agents. We introduce a method for performing a preliminary evaluation utilising simulated users to show how performance changes depending on the type of user assisting the agent. Moreover, we describe how human interaction may be simulated, and present an experiment illustrating the applicability of simulating users in evaluating agent performance when assisted by different types of trainers. Experimental results show that the use of this methodology allows for greater insight into the performance of interactive reinforcement learning agents when advised by different users. The use of simulated users with varying characteristics allows for evaluation of the impact of those characteristics on the behaviour of the learning agent.

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