Certain Answers as Objects and Knowledge

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Mining Object Parts from CNNs via Active Question-Answering

Given a convolutional neural network (CNN) that is pre-trained for object classification, this paper proposes to use active question-answering to semanticize neural patterns in conv-layers of the CNN and mine part concepts. For each part concept, we mine neural patterns in the pre-trained CNN, which are related to the target part, and use these patterns to construct an And-Or graph (AOG) to represent a four-layer semantic hierarchy of the part. As an interpretable model, the AOG associates different CNN units with different explicit object parts. We use an active human-computer communication to incrementally grow such an AOG on the pre-trained CNN as follows. We allow the computer to actively identify objects, whose neural patterns cannot be explained by the current AOG. Then, the computer asks human about the unexplained objects, and uses the answers to automatically discover certain CNN patterns corresponding to the missing knowledge. We incrementally grow the AOG to encode new knowledge discovered during the active-learning process. In experiments, our method exhibits high learning efficiency. Our method uses about 1/6-1/3 of the part annotations for training, but achieves similar or better part-localization performance than fast-RCNN methods.Comment: Published in CVPR 201

The product system

It was some years ago after practising as an industrial designer that I experienced the power of design to convey meanings through the coordinated use of attributes which materialised out of a diversity of manufacturing processes. I was fascinated by the fact that a piece of transformed material, a curve or the enhancement of a product displayed in a shop could so strongly attract the attention of a viewer. I was puzzled by the ability of certain designers to trigger evident or obscure connotations by the complexity of the shapes of their designs. Objects have the ability to define groups of people or personalities by unconscious criteria. I observed how objects can influence cultures and nationalities and we find ourselves influenced and limited by their appearance, function and value. Can we say that designed objects function only as commodities or as marks of economic wellbeing? At the beginning of this investigation my intention was to bring some answers to general questions like this. I realised that my research would involve investigating the most recondite accounts of philosophy, sociology and the theory of knowledge. I had to start from the very foundations of the complex act of understanding and, in order to organise all the different concepts, the research is constructed from three main sections

Synthesizing and executing plans in Knowledge and Action Bases

We study plan synthesis for a variant of Knowledge and Action Bases (KABs). KABs have been recently introduced as a rich, dynamic framework where states are full-fledged description logic (DL) knowledge bases (KBs) whose extensional part is manipulated by actions that can introduce new objects from an infinite domain. We show that, in general, plan existence over KABs is undecidable even under severe restrictions. We then focus on the class of state-bounded KABs, for which plan existence is decidable, and we provide sound and complete plan synthesis algorithms, through a novel combination of techniques based on standard planning, DL query answering, and finite-state abstractions. All results hold for any DL with decidable query answering. We finally show that for lightweight DLs, plan synthesis can be compiled into standard ADL planning. © 2016, CEUR-WS. All rights reserved

Design of teaching materials informed by consideration of learning-impaired students

The general aim of this project is to fundamentally re-think the design of teaching materials in view of what is now known about cognitive deficits and about what Howard Gardner has termed ‘multiple intelligences’. The applicant has implemented this strategy in two distinct areas, the first involving the writing of an English language programme for Chinese speakers, the second involving the construction of specialized equipment for teaching elementary logic to blind students. The next phase (for which funding is sought) is to test the effectiveness of the logic device, because in theory – the one to be tested – materials the design of which is informed by the above rationale will provide a richer learning experience for non-impaired users

Education in cartography: what is the status of young people's map-reading skills?

Due to recent technological progress, maps have become more popular than ever before. This is especially true for young people, who interact with these technologies on a daily basis. Therefore, it is essential that these potential map users possess sufficient knowledge and skills to process the content of cartographic products. A user study was conducted during which pupils (aged 11-18years) and geography students (>18years) had to solve a number of cartography questions using topographic maps. The data were analyzed statistically, taking into account a number of potentially influencing factors (user characteristics) on the participants' results: age, gender, youth club membership, knowledge about the area, among others. The results show a rising trend in the pupils' scores with increasing age, which can be explained by education in cartography at school. Geography students perform much better, but no influence of any other user characteristics was detected. For pupils, knowledge about the area and gender might be considered as influencing factors. However, the detected influence of gender depends on the scoring system

Plan Synthesis for Knowledge and Action Bases

We study plan synthesis for a variant of Knowledge and Action Bases (KABs), a rich, dynamic framework, where states are description logic (DL) knowledge bases (KBs) whose extensional part is manipulated by actions that possibly introduce new objects from an infinite domain. We show that plan existence over KABs is undecidable even under severe restrictions. We then focus on state-bounded KABs, a class for which plan existence is decidable, and provide sound and complete plan synthesis algorithms, which combine techniques based on standard planning, DL query answering, and finite-state abstraction. All results hold for any DL with decidable query answering. We finally show that for lightweight DLs, plan synthesis can be compiled into standard ADL planning

An Internet Portal based on 'Twenty Questions'

An efficient Internet portal should contain a search engine or maybe even a decision support system to supply the user with the information (s)he may be looking for. In this report an intelligent agent is suggested that relates different sites to each other, based on the answers supplied by the users looking for certain information. For this purpose a self-learning system has been made, based on the neural network of the game Twenty Questions, but with a strategy that relates different objects or sites by correlating the list of answers to the questions