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The crux of the realization of task intelligence for robots is to design the memory module for storing temporal event sequences of tasks, the mechanism of thought for reasoning, and motion planning methodology for execution, among others. In this paper, task intelligence is realized using episodic memory, neural model-based mechanism of thought, and an online motion planning algorithm. Robots are...
Ambient Intelligence environments are populated with embedded distributed devices interacting in proactively and in transparent manner to achieve user's needs. Context and context awareness is crucial for any AmI based systems. To develop context-aware Ambient Intelligence systems, suitable context models, and reasoning approaches are necessary to provide users with smart services. This paper advocates...
Stories have become an important element of games, since they can increase their immersion level by giving the players the context and the motivation to play. However, despite the interactive nature of games, their stories usually do not develop considering every decision and/or action the players are capable of, because depending on the game size, it would take too much effort to author alternative...
In this Work In Progress paper, we describe an NSF-funded research project designed to generate transferable tools that can be used to teach and evaluate undergraduate engineering students' metacognitive skills. Metacognition, defined as the knowledge and regulation of one's own cognitive (or thinking) processes, is critically important to student learning and particularly instrumental in problem-solving...
We are combining symbolic and geometric planning to synthesize human-aware plans in order to deal with the complex and highly intricate planning problems induced by Human-Robot collaborative object manipulation. In this paper, we summarize our previous contributions - refining symbolic actions at geometric level, during the symbolic planning, in order to assess their feasibility and computing the...
In this paper we present an overview of the most important views on situation awareness in literature. We then go on to apply these concepts to cyberdefense. The main contribution of the paper lies in bringing together different decision making models and proposing a unified cyberdefense situation awareness model, that covers the different levels of abstraction from raw data to understanding, as well...
In this work, we model context in terms of a set of concepts grounded in a robot's sensorimotor interactions with the environment. For this end, we treat context as a latent variable in Latent Dirichlet Allocation, which is widely used in computational linguistics for modeling topics in texts. The flexibility of our approach allows many-to-many relationships between objects and contexts, as well as...
In all the projects centered on the promotion of self-regulation, self-regulation strategies and learning strategies are taught, to enable the students to use them in order to improve their learning and self-regulatory skills. When the students use these strategies, they choose the tools that they want to use to implement the strategies, pen and paper in many cases, and generic software tools in other...
Many AI techniques have been applied to goal-oriented requirements engineering. However, such techniques have focused mostly on the intellectual challenge and ignored the engineering challenge of RE at scale. We discuss some of these existing approaches. We then introduce some early work that aims to add contextual quality attribute information to leverage the power of AI techniques and tools with...
An important challenge in pervasive computing environments is to automatically enable software applications by dynamically composing services. Service composition is a way to plan a business process to fulfill business goals that cannot be achieved by individual business services. Given a representation of services in OWL-S, service composition can be modeled as an Artificial Intelligence planning...
The widespread use of lean and agile development methods shows a fundamental shift in how organizations try to cope with complexity and volatility issues. In large-scale settings, the coordination of many people often results in a team of teams setup. We introduce the multiteam systems perspective to describe different conceptual strategy types for inter-team coordination. These types are illustrated...
Energy-saving offices require autonomous and optimised control of integrated devices and appliances with the objective of saving energy while the occupant comfort and productivity are preserved. We propose an approach that analyses and controls an office space and accounts for the objectives of energy-saving offices. The approach considers ontology-based occupant activity recognition using simple...
This article presents a context adaptive approach for multimodal interaction for the use in cognitive technical systems, so called companion systems. A system architecture is presented and we clarify where context awareness occurs on different levels with a layered context model. The focus is on the topics of dialog management, multimodal fusion, and multimodal fission, as the main participants in...
Human-robot collaboration requires to equip the robot with explicit reasoning on the human and on its own capacities to achieve its tasks in a collaborative way with a human partner.
An extension of the HTN-DL web service model is presented, including rules for web service behavior and compliance validation against customer requests. The intention is to overcome the limitations of HTN-DL and OWL-S in covering business constraints in service selection and also the limitation of preconditions. The proposed approach validates a web service obtained through HTN-DL planning, for compliance...
This paper considers the use of public displays, such as whiteboards and papers pinned to walls, by different software development teams, based on evidence from a number of empirical studies. This paper outlines differences in use observed between traditional and agile teams and begins to identify the implications that they may have for software development.
This research focuses on applying both Scenario Planning and Multicriteria Decision Analysis (MCDA) approaches that have a great potential to support Strategic Decision Making. These methods make possible to assess strategic lines of action and to treat uncertainty related to future states. Considering a military context where there is an imminent catastrophic situation, this work demonstrates the...
Dynamic service composition requires responding and adapting to changes in the computing environment when orchestrating existing services into one or more new services that fit better to a composite application. This paper abstracts the changes of the environment as a context world to store the physical contexts of the computing environment, user profiles and computed results of services as well....
In this paper, we propose that affective reactions are integral to capital budgeting, and that researchers must jointly consider affect and cognition to better understand capital-budgeting decision makers' behavior. Capital budgeting is very important to firms. Capital-budgeting activities are critical to a company's long-term performance. Interpersonal relationships can lead to emotional affective...
The Quantified Constraint Satisfaction Problem(QCSP) is a generalization of the classical constraint satisfaction problem in which some variables can be universally quantified. This additional expressiveness can help model problems in which a subset of the variables take value assignments that are outside the control of the decision maker. Typical examples of such domains are game-playing, conformant...
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