Elena KNOX with Katsumi WATANABE 渡邊克己 (Australia / JAPAN|澳州 / 日本)

Omikuji 御御籤(2017)

Networked robotic art
A game station with wall projection
Robot, AI, sound, live streaming, electronic ‘belief machine’, interactive experiment
Floor space: 3m x 4m
網絡機械藝術
設置投影的遊戲站
機械, 人工智能, 聲音, 串流直播, 電子「信念機器」, 互動實驗
佔地面積:3米 x 4米

Knox_img_1
Alter robot (Ikegami/Ishiguro) performing in Knox+Watanabe’s Omikuji, streaming Tokyo to Beijing 

Synopsis 

An AI robot tells your fortune. Omikuji is a livestream event between Tokyo and major international art precincts. It is part of Knox and Watanabe’s art–science experiments Alter versus Deep BeliefAlter is a new Japanese robot with experimental AI that can sense, learn, and sing. It was created by Ikegami Lab and Ishiguro Lab, and is housed in Japan’s Miraikan museum.

Omikuji are short personal fortunes obtained at Japanese temples and shrines. Visitors to the exhibition are invited to play the artists’ ‘Belief Machine’, to receive omikuji from Alter. 

Omikuji was commissioned by the Goethe Institut, and is supported by the National Museum of Emerging Science and Innovation (Miraikan), Japan, and Watanabe Lab, Waseda University, Japan, through the Japan Society for the Promotion of Science and Japan Science and Technology Agency (JST CREST).

Credits
Technical (Belief Machine): Boris Morris Bagattini, Lindsay Webb
Robot: Takashi Ikegami, Hiroshi Ishiguro
Thanks: Itsuki Doi, Kohei Ogawa, Yukio Yanagawa, Nana Chen, Jenna Lee

簡介

一個人工智能機器人將說出你的命運。《御御籤》是一個連接東京與眾國際藝術城市的實時項目。《御御籤》為 Elena Knox 與渡邊克己有關人工智能Alter與深度信念的藝術科學實驗之一。Alter 是一個能感應、學習和唱歌,載有實驗性人工智能的新生代日本機器人。它由Ikegami Lab 和 Ishiguro Lab 所創, 目前設於日本科學未來館。

御御籤是日本神社和廟宇參拜者可求得的關於短期運氣的護身符。此作品歡迎觀眾到展覽體驗藝術家的「信念機器」,並獲得來自Alter的御御籤。《御御籤》受歌德學院委托創作,並透過日本學術振興會得到日本科學未來館、Wanatabe Lab和早稻田大學支持。

鳴謝

技術(信念機器): Boris Morris Bagattini, Lindsay Webb
機器人:Takashi Ikegami, Hiroshi Ishiguro
感謝:Itsuki Doi, Kohei Ogawa, Yukio Yanagawa, Nana Chen, Jenna Lee

ALB_0226R_4x3
on-site, 27 Dec 2017 HK

Concept

Alter is a new robot whose actions are modulated by an experimental Artificial Intelligence. It can sense, learn, and sing. It uses a self-organising neural network to classify its surroundings. Such AI strategies include deep belief networks, through which machines determine certain inputs to be believable. Alter is beginning to believe things about the world.

Using our Belief Machine, visitors to the exhibition can communicate with Alter in Tokyo’s Miraikan museum. Alter will transcode your personal details, re-interpret them in real-time through its own sound-making, and send you a unique sonic response as your personal omikuji. Omikuji are short fortunes obtained at Japanese temples and shrines.

Art/Experiment Objectives

We observe how a nascent robot learns and embodies its ‘beliefs’. If the goal of artificial neural networks is for machines to discern phenomena in a humanlike way, Alter is also outputting its discernment of sensory data via its machine body; by this performativity, its belief and behavior evolve.

In robotic intelligence that mimics human ‘deep belief’, machines are trained to recognize characteristics and then to recreate (infer) them by probability, eventually being able to perform classification tasks. They ‘think’ in layers of computational variables which are inferred from initial, lower layers of direct-measured values — yet each sub-network can only ‘see’ the one that came before it. Layer by layer of accumulated belief, the deep layers of the machine-brain act as truth filters (‘feature vectors’), guiding the learning process.

Belief systems are maximally contentious in our globalised world, and are important to both the inter-harmony and the preservation of culture/s. We create artworks to uncover and express the layers of Alter’s budding belief system, its naïve mutability and contingency, even its idiosyncrasy. People may be prompted to ask: How are we transmitting our beliefs to and through machines? How sure are we in our beliefs? How soft are they, and how hard?

概念

Alter 是一個動作由實驗性人工智能所驅動的機械人。 它能感應、學習和唱歌。它使用自組織神經網絡,對周圍的環境進行分類。這類人工智能策略包括使用的深度信念網絡,能讓機器將特定的輸入標記為可信賴。Alter開始相信一些有關世界的事情。

透過我們的信念機器,來到展覽的觀眾能與位於日本科學未來館的Alter進行互動。

御御籤原來是在日本神社和廟宇求得到的關於短期運氣的護身符。透過這個作品,歡迎觀眾到展場體驗藝術家的「信念機器」,並獲得來自Alter的御御籤。Alter將對參與者個人訊息進行轉碼,並通過自身的聲音系統進行重新解讀,以獨特的聲音回應作為你個人的御御籤。

藝術/實驗目的

我們觀察到初期的機械人如何學習以及體現它的‘信念’。 假如人工智能神經網絡的目的是讓機器能像人類一樣辨析現象,Alter也同樣透過它的機器身體輸出它對感應數據的辨析;通過它的展演性, 它的信念與行為開始衍化。

在模仿人類「深度信念」的機械智能中,機器被訓練去辨認特徵然後以或然率去從新創作(推斷)特徵,從而能夠進行分類的任務。它們透過從開端、低一些層次的直接測量數據推斷不同運算變數層去「思想」-然而每個子網路都只能「看」到前一層。透過一層一層累積的信念,機器大腦的深層將作為真實性的過濾(「特徵向量」)引導學習過程。

人工智能涉及的「信念系統」在我們全球化的世界中備受巨大爭議,而且對國際和諧和文化的保存同樣受到注視。我們以藝術創作去揭開和表現Alter發展中的一層層信念系統、它稚嫩的偶然性和可變性,以及特質。人們或許會問:為何我們要向或透過機器傳達我們的信念?我們對我們的信念有多確信?它們有多軟性,有多堅硬

ALB_0229R
a young visitor

Bio

++artist’s website++

Elena KNOX is a performance/media artist and scholar in the FTS (feminist technoscience studies) field. Her artworks stage enactments of persona, gender and presence (sonzai kan) in technoscience and communications media, and are presented internationally. Recent shows include: Beijing Media Art Biennale; Video Art and Experimental Film Festival, New York; Nine Tomorrows, PowerLong Art Center, Hangzhou; Beholder, Hong Kong International Commerce Centre (ICC) 118-storey façade; International Symposium on Electronic Art; Athens Digital Arts Festival; Cairo Video Festival; Simultan Festival Romania; Festival Silêncio Portugal; and Video Vortex (Kochi Biennale).

Knox’s experimental projects have been nominated for awards, most recently the Australian Art Music Awards and the LA Underground Film Forum. A director of Lull Studio, she lives in Tokyo where she is a research fellow at Waseda University’s Department of Intermedia Art and Science.

Katsumi WATANABE is a scientist focusing on perception, cognition and action. His research methods encompass interdisciplinary approaches to cognitive science, and real-life applications of knowledge. Project themes include: perceptual distortion of space and time; automation processes of learned sequential actions; implicit processes for decision-making based on preference; implicit learning of visual contexts; implicit motor synchronisation; post-dictive decision making.

​Watanabe collaborates closely with AIST (Cognition and Action Research Group, HSBE, Japan), CREST (Japan Science and Technology Agency), and Caltech (Shimojo Lab, USA). He has a PhD in computation and neural systems from the California Institute of Technology, and is Professor at the Department of Intermedia Art and Science, Waseda University, Tokyo.

簡歷

Elena Knox 是表演藝術家、媒體藝術家和女性主義技術科學研究範疇的學者。她的作品以科技和傳播媒體討論個性、性別、存在感、心靈等多個議題,並於國際不同場合展出。 她近期的展出包括北京媒體藝術雙年展、Video Art and Experimental Film Festival (紐約);  於杭州寶龍藝術中心舉辦的「九個明天」科技藝術大展環球貿易廣場(ICC)樓高118層的外牆放映的 Beholder 、 International Symposium on Electronic Art 、Athens Digital Arts Festival、Cairo Video Festival、Simultan Festival Romania、 Festival Silêncio Portugal 和 Video Vortex (Kochi Biennale). Knox 的實驗項目曾獲不同獎項推薦,包括 Australian Art Music Awards 和 the LA Underground Film Forum。 她是 Lull Studio 的聯合總監,現居於東京,同時是東京早稻田大學跨媒體藝術與科學研究員。

渡邊克己是專注於知覺、認知和行動的科學家。他的研究方法以跨學科為本,結合認知科學以及知識的實際應用;研究項目的主題包括:對於空間與時間的感知失真、所學習序列行為的自動化過程、因應偏好而作決策的內在過程、對於視覺背景與環境的內在學習、內在的馬達同步,和後測的決策。

渡邊與 AIST、CREST 和 Caltech 有緊密合作的關係。他擁有加州理工學院的計算與神經網絡博士學位,並且是東京早稻田大學媒體藝術與科學系教授。

 

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