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This study presents a model for the early identification of students who are likely to fail in an academic course. To enhance predictive accuracy, sentiment analysis is used to identify affective information from text‐based self‐evaluated comments written by students. Experimental results demonstrated that adding extracted sentiment information from student self‐evaluations yields a significant improvement...
Design problems are often solved by a group of designers with different expertise and background knowledge. These various concerns may cause conflicts among the designers. Thus, resolution of these conflicts frequently relies on some form of negotiation. This paper proposes a general framework for modeling collaborative design via fuzzy constraint-based agent negotiation. In this framework the individuals...
This paper presents a business gaming simulator via fuzzy constraints-directed approach for supporting collaborative problem-based learning (PBL). In this gaming simulator, the problem is formulated and analyzed as a distributed fuzzy constraint satisfaction problem (DFCSP) to assist students realizing a wide range of business scenarios from different perspectives. The structure of the problem is...
This paper integrates the concept of agent negotiation into adaptive learning to support effective learner-instructor interaction. It intends to capture the interactions that are real between learner and instructor, but often simplified or even ignored in most adaptive learning approaches. An iterative negotiation protocol is employed to reconcile mutual thinking and cognitive differences between...
A negotiation-based intelligent tutoring system of which the tutor and learner agents in playing problem-specific roles is developed to assist learner in problem solving through a negotiation mechanism. During the problem solving, fuzzy constraint-directed negotiation is employed to coordinate the mutual thinking between tutor and learner agents, and it can resolve the cognition differences and thereby...
This paper presents a fuzzy constraint-directed approach to the development of agent-based business simulator for supporting collaborative learning. The advantages of this approach can be summarized in two folds: it provides (1) a general purpose framework for the knowledge representation and problem solving in business simulation, and (2) a fully distributed computational model along with a negotiation...
Incorporation of various sources of a priori knowledge into data-driven fuzzy modelling is an important task. But a major problem with current approaches is that they are mostly problem-specific and lacking an effective framework to bring different sources of knowledge into the task of modelling. In this paper, we propose a constraint-based framework for the incorporation of a priori knowledge into...
This paper presents a belief learning model for fuzzy constraint-directed agent negotiation. The main features of the proposed model include: 1) fuzzy probability constraints for increasing the efficiency on the convergence of behavior patterns, and eliminating the noisy hypotheses or beliefs, 2) fuzzy instance matching method for reusing the prior opponent knowledge to speed up the problem-solving,...
This paper presents a fuzzy constraint-directed negotiation mechanism for agent-based scheduling. Scheduling problem is modeled as a set of fuzzy constraint satisfaction problems (FCSP), interlinked together by inter-agent constraints. Each FCSP represents the perspective of participants and is governed by agents. Negotiation process is considered as a global consistency enforcing via iterative constraint...
This paper presents a novel motion detection scheme by using the momentum of received signal sstrength (MRSS) to improve the quality of handoff in a general wireless network. MRSS can detect the motion state of a mobile node (MN) without assistance of any positioning service. Although MRSS is sensitive in detecting user's motion, it is static and fails to detect quickly the motion changes of users...
The integration of different IP-based wireless networks, such as WiMAX and WiFi, becomes a 2-tier heterogeneous wireless networks is a more and more popular issue. In order to support multiple types of service with different QoS requirements in heterogeneous wireless networks, efficient resource management, call admission control strategies, mobility management and overflow handoff call are important...
A lot of wireless standards are proposed to satisfy diversified requirements for mobile users such as IEEE 802.16 and IEEE 802.11. It is feasible to integrate heterogeneous networks to provide complete wireless services. Several strategies were proposed to realize seamless handoff in the heterogeneous networks; however, most of them were only designed to meet system performance or individual QoS requirements...
In peer assessment, the awarding grades might not accurately reflect the students' achievement due to potential rating bias or individual abilities. The proposed methodology aims at aggregating students' ratings to reduce personal bias using agent negotiation. We consider individual learning styles of assessors into the negotiation process and show by an illustrative example and an experiment how...
This work presents a general framework of agent negotiation with autonomous learning via fuzzy constraint-directed approach. The fuzzy constraint-directed approach involves the fuzzy probability constraint where each fuzzy constraint has a certain probability, and the fuzzy instance reasoning where each instance is represented as a primitive fuzzy constraint network. The proposed approach via fuzzy...
This paper presents a general framework for modeling a distributed scheduling problem via fuzzy constraint-based agent negotiation. Fuzzy constraints, in this way, are used not only to represent the requirements that jobs being scheduled must satisfy, but also to specify the possibilities prescribing to what extent the solutions are suitable for scheduling to rank the solutions. Furthermore, fuzzy...
This study presents a negotiation-based e-learning framework to promote learning motive and enhance the interaction between learners and instructors. In terms of learning communication, a fuzzy constraint-based agent negotiation mechanism is proposed as a flexible model to suggest pedagogies or learning strategies. Examples are provided to illustrate the proposed framework for constructive and collaborative...
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