Controlling Deliberation with the Success Probability in a Dynamic Environment

AAAI Conferences

Seiji Yamada Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology 4259 Nagatsuda, Midori-ku, Yokohama, Kanagawa 226, JAPAN Email: yamada ai.sanken.osaka-u.ac.j p Abstract This paper describes a novel method to interleave planning with execution in a dynamic environment. Though, in such planning, it is very important to control deliberation: to determine the timing for interleaving them, few research has been done. To cope with this problem, we propose a method to determine the interleave timing with the success probability, SP, that a plan will be successfully executed in an environment. We also developed a method to compute it efficiently with Bayesian networks and implemented SZ system. The system stops planning when the locally optimal plan's SP falls below an execution threshold, and executes the plan. Since SP depends on dynamics of an environment, a system does reactive behavior in a very dynamic environment, and becomes deliberative in a static one. We made experiments in Tileworld by changing dynamics and observation costs. As a result, we found the optimal threshold between reactivity and deliberation in some problem classes. Furthermore we found out the optimal threshold is robust against the change of dynamics and observation cost, and one of the classes in which S2"P works well is that the dynamics itself changes.


iPhone Siri prank tricks people into phoning emergency services

The Independent - Tech

A prank designed to trick iPhone users into calling emergency services is currently spreading online. Owners of Apple products are being encouraged to say '108' to Siri, unaware of the consequences. As 108 is the equivalent of 999 in India, the digital assistant will recognise it as a command to contact emergency services in the phone user's local area. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.


Mena

AAAI Conferences

Probabilistic Classifiers Chains (PCC) offers interesting properties to solve multi-label classification tasks due to its ability to estimate the joint probability of the labels. However, PCC presents the major drawback of having a high computational cost in the inference process required to predict new samples. Lately, several approaches have been proposed to overcome this issue, including beam search and an epsilon-Approximate algorithm based on uniform-cost search. Surprisingly, the obvious possibility of using heuristic search has not been considered yet. This paper studies this alternative and proposes an admisible heuristic that, applied in combination with A* algorithm, guarantees, not only optimal predictions in terms of subset 0/1 loss, but also that it always explores less nodes than epsilon-Approximate algorithm. In the experiments reported, the number of nodes explored by our method is less than two times the number of labels for all datasets analyzed. But, the difference in explored nodes must be large enough to compensate the overhead of the heuristic in order to improve prediction time. Thus, our proposal may be a good choice for complex multi-label problems.


Artificial intelligence is set to handle O2 customer services from 2017

The Independent - Tech

O2 has announced plans to introduce an AI capable of performing the same job as customer service staff. The voice recognition system, which is called Aura, was unveiled by the mobile operator's parent company Telefonica at MWC this week. It's expected to launch in the UK next year, and will enable the company to cut customer service costs. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.


Apple Possibly Looking to Japanese Expertise to Improve Siri

#artificialintelligence

Apple CEO Tim Cook hinted that Japan has a big part to play in the company's ongoing development of AI, as he continued his travels around the country via bullet train on Monday. Speaking to Nikkei Asian Review, Cook revealed that Apple's new advanced R&D center in Yokohama, currently scheduled for completion in December, would focus on "deep engineering" and would be "very different" from the R&D base Apple is building in China, without giving away specifics. Photo via Tim Cook However, Cook intimated that one of its main focuses would be on developing Apple's artificial intelligence services – which recently drew some criticism in the press – and emphasized that the company wanted to leverage specifically Japanese expertise in the field. "AI is horizontal in nature, running across all products, and is used in ways that most people don't even think about," said Cook. "We want the AI to increase your battery life, to recommend music to Apple Music subscribers... [to] help you remember where you parked your car."Japan's robotics heritage is legendary, coming on the back of years of successfully building industrial robots, however the state of its AI research remains ambiguous, given its relative lack of investment in deep learning from large amounts of analyzed data, which U.S. companies like Facebook and Google are already heavily researching. To improve on this front, Japan has just opened a Center for Advanced Integrated Intelligence Research in Tokyo (RIKEN), which specifically aims to develop systems of AI that will be able to solve problems using "Big Data".