Abstract The paper develops a model created in Simscape – SIMULINK to study the monophase transformer behaviour. equivalent circuit topology of typical needs implement procedure determine values for elements based on performance criteria. preliminary tests need behaviour ‘s transformers are open-circuit and short-circuit tests. implements realised with block offered by MATLAB library used model...

In this paper we explore to what extent the modeling of dialog can be subsumed under the broader modeling of intelligent agents. Specifically, we analyze how four core aspects of modeling human physiology and general cognition can be applied to dialog, and attempt to determine whether dialog poses any modeling challenges that require additional methods or expressive power.

The agent paradigm can be seen as an extension of the notion of (active) objects by concepts like autonomy and cooperation. Mainstream object-oriented modeling techniques do not account for these agent-speci4c aspects. Therefore, dedicated techniques for agent-oriented modeling are required which are based on the concepts and notations of object-oriented modeling and extend these in order to su...

Designing a terminological knowledge base consists in collecting terms and associating them to their definition. Our objective is to define a process model to support this design task in a collaborative work environment. The proposed concept model is based on terminological logic and the issue-based model IBIS. The terminological logic part is intended to formally express definitions and associ...

We present an efficient method for inferring facts from a propositional knowledge base, which is not required to be in conjunctive normal form. This logically-incomplete method, called propositional fact propagation, is more powerful and efficient than some forms of boolean constraint propagation. Hence, it can be used for tractable deductive reasoning in many AI applications, including various...

In this study, we investigated the modeling and design of an Intelligent Agent System (IAS). To achieve this goal, we introduced several kinds of agents that exhibit intelligent features. These are the main agent, management agent, watcher agent, report agent and application agent. We applied the intelligent agent concept to two different application fields, i.e. the intelligent agent system fo...

A financial model is a representation of the activities of a business in terms of quantitative relationships among variables that can help an analyst understand the financial consequences of past activities or assumed future activities. The equations comprising such models form a kind of knowledge base which can be used to generate explanations. In this paper we give some background on financia...

Area Editor: Russell S. Winer Agent-based modeling can illuminate how complex marketing phenomena emerge from simple decision rules. Marketing phenomena that are too complex for conventional analytical or empirical approaches can often be modeled using this approach. Agent-based modeling investigates aggregate phenomena by simulating the behavior of individual “agents,” such as consumers or org...

An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The machine-human co-learning model is established to help various students learn the mathematical concepts based on their learning ability and performance. Meanwhile, the robot acts as a teacher’s assistant to co-learn w...

In our previous research we designed Jazzyk, a modular programming language for development of cognitive agent systems. Jazzyk obeys two basic design principles: 1) it allows for an easy integration of heterogeneous knowledge representation technologies, and 2) draws a strict distinction between modeling agent’s knowledge and reasoning vs. its behaviours. To further drive the development of Jaz...