Titlebook: Recommendation and Search in Social Networks; ?zgür Ulusoy,Abdullah Uz Tansel,Erol Arkun Book 2015 Springer International Publishing Switz

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書目名稱Recommendation and Search in Social Networks影響因子(影響力)




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玉米

Xinyue Wang,Laurissa Tokarchuk,Felix Cuadrado,Stefan Posladxplanation directly from an intelligent agent. We propose Conversational Interfaces (CIs) to be the perfect setting, since they are intuitive for humans and computationally processible. While there are many approaches addressing technical and agent related issues of this human-agent communication pr

ALERT

Yuki Urabe,Rafal Rzepka,Kenji Arakiligned with the traditional view of human actors as rational agents that act to maximize their own utility function. For instance, humans often act sympathetically – i.e., they choose actions that serve others in disregard of their egoistic preferences. Even if there is no immediate benefit resultin

Subdue

治愈

JUST

Benjamin C. M. Fung,Yan’an Jin,Jiaming Li,Junqiang Liuxplanation directly from an intelligent agent. We propose Conversational Interfaces (CIs) to be the perfect setting, since they are intuitive for humans and computationally processible. While there are many approaches addressing technical and agent related issues of this human-agent communication pr

blight

蒙太奇

Sogol Naseri,Arash Bahrehmand,Chen Dingcy to their algorithms. Much of this research is focused on explicitly explaining decisions or actions to a human observer, and it should not be controversial to say that looking at how humans explain to each other can serve as a useful starting point for explanation in artificial intelligence. Howe

LATER

Ali Khodaei,Sina Sohangir,Cyrus Shahabixplanation directly from an intelligent agent. We propose Conversational Interfaces (CIs) to be the perfect setting, since they are intuitive for humans and computationally processible. While there are many approaches addressing technical and agent related issues of this human-agent communication pr

Offset

Linhong Zhu,Sheng Gao,Sinno Jialin Pan,Haizhou Li,Dingxiong Deng,Cyrus Shahabigents often use Machine Learning (ML) for acquiring expertise, but traditional ML methods produce opaque results which are difficult to interpret. Hence, these autonomous agents should be able to explain their behaviour and decisions before they can be trusted by humans. This paper focuses on analyz