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This concept paper suggests a new way of thinking about the origin, growth, and spread of a general-purpose "scientific habit of mind" in humans, and discusses how intelligent coaching agents may help. The argument begins with a description of the role of the cognitive cycle in animal thinking. We then examine critical differences between non-human and human cognition, especially in respect...
Internet has become the largest repository for documents. PDF documents distribution through Internet is prevalent, as the cost is almost zero. At present, files are mostly downloaded from the Internet and users go through cursorily over entire document and then they decide to store it in their hard disk or not. To facilitate the user-document interaction, a novel document distribution technique is...
The success rate of IT system development projects has remained as low as 30 %, resulting in that more than 60 % of workers have suffered from problems. This paper proposes a software agent to replace rudimentary-level human counselors. The agent uses a counseling knowledge whose domain is limited to IT workers or students. Counseling differs from learning support whose problems are clear and well-understood...
This paper examines various observations of sensemaking within joint-cognitive systems, particularly symbiotic systems that incorporate human and associate systems. It also highlights the effects of synchronized sensemaking processes in enabling associate systems to recognize the state of human activity. Specifically, studying the sensemaking phenomenon has direct applications for the development...
Qualitative representation and reasoning on Complex Systems (CS) is important for a number of human activities on CS, mainly for the understanding of both, our perception about their structure as well as their dynamics. Formal Concept Analysis can help understanding the conceptual structure behind these qualitative representations by means of the called concept lattices (CL). In this paper the scale...
The importance and emphasis on interactive teaching is to implement the modern educational thought, but also to achieve quality education. Especially in online teaching, the strengths and weaknesses of the interaction is an important guarantee for the quality of teaching. This article describes the history and development of the game theory, summarizes three features of online games in the view of...
This paper describes a framework for perception creation from sensor data. We propose using data abstraction techniques, in particular Symbolic Aggregate Approximation (SAX), to analyse and create patterns from sensor data. The created patterns are then linked to semantic descriptions that define thematic, spatial and temporal features, providing highly granular abstract representation of the raw...
In this paper, we propose a new model for the design method of graphical user interfaces for audio visual remote controllers based on analytic hierarchy processes. The goal of this model is to reduce human error in order to modify the graphical user interface of a wireless remote controller to obtain the most suitable interface for every user. The proposed method is evaluated by a prototype assuming...
In this article, we present the architectural and algorithmic details for a COgnitive System Architecture that uses a Centralized Ontology with Specific Algorithms (COSA2). COSA2 is a layered intelligent agent framework on the basis of the modified Rasmussen model of human performance. It encompasses integrated algorithmic support for goal-oriented situation interpretation, dynamic planning and plan...
In this paper, we propose an approach to detect scene geometrical structure given only one monocular image. Several typical scene geometries are investigated and corresponding models are built. A scene geometry reasoning system is set up based on image statistical features and scene geometric features. This system is able to find best fitting geometric models for most of the images from the benchmark...
The aim of cognitive augmentation is to expand the intrinsically limited human's cognitive abilities caused by cognitive impairment or disability. In order to assist the human's limited cognitive ability, we are trying to develop a human augmented cognition system that aims to provide the appropriate information actively corresponding to what user intents to do. In this paper, we mainly address the...
This work outlines the development of a reasoning architecture that uses physics-, social-, and agent capability-based knowledge to generate manipulation strategies for a dexterous robot. The architecture learns object affordances through human observations, imposed constraints, and hardcoded physics logic. Human observations are also used to develop a unique manipulation repertoire suitable for the...
We have been studying the creativity-centered media to ensure that systems truly support creative and intelligent human activities. However, it has gradually become obvious that current advanced support systems have a serious drawback: instead of promoting creative work, they often discourage creativity or let us stop thinking. In this paper, we focus on the 3D sketch system that supports the design...
This paper presents results related to a new design approach dedicated to cognitive system strategies. The scenario concerning a robot integrated in a cognitive system is described. The paper focuses on the development of a pattern of human knowledge and on a new data structure which are able to organize and manipulate the involved information. The definitions of signatures and of signature classes...
A novel concept for approaching digital investigations is presented. User-contributory case-based reasoning (UCCBR) is a method by which previous results from digital forensic (DF) examinations are stored and reused in future investigations. The advantages of a UCCBR system are discussed which include implementing UCCBR as an auditing tool, a method for optimizing evidence retrieval and anomalous...
The temporal annotation scheme Time ML was developed to support research in complex temporal question answering (QA). Given the complexity of temporal QA, most of the efforts have focused, so far, on extracting temporal information, which has been evaluated with corpus-based evaluation. However, the QA task represents a natural way to evaluate temporal information understanding, and creating question...
The paper presents the usage of a prototype DSO cognitive architecture (DSO-CA) for mobile surveillance. DSO-CA is able to bring to bear different types of knowledge to solve problems. It imbues mobile robots with intelligent capabilities like reasoning and adaptive path planning in dynamic environments, and achieves human-inspired object recognition. These intelligent robotic movements and object...
The current paper is an investigation towards understanding the navigational performance of humans on a network when the 'landmark' nodes are blocked. We observe that humans learn to cope up, despite the continued introduction of blockages in the network. The experiment proposed involves the task of navigating on a word network based on a puzzle called the word morph. We introduce blockages in the...
Epistemic logic was proposed by Hintikka to model human knowledge and beliefs. Since then, a lot of work has been done to improve epistemic logic for applications to several problems. One of the interesting problems is to relate the concept of ignorance to that of knowledge. In this paper, we introduce a logic for non-ignorance LNI by extending the classical propositional logic with the operator Ni...
Expert system has been widely used since it was created as early as 1970s. One of the challenges that expert systems faced is to deal with uncertain information. Even though there are many uncertainty management approaches which can deal with problems of different types, the term uncertain information is not clearly defined. This paper reviews some of the uncertainty management in order to highlight,...
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