Sebanyak 26 item atau buku ditemukan

Hubungan Antara Persepsi Siswa Pada Guru BK Dengan Minat Siswa Mengikuti konseling Individual di MTSN 9 Tanah datar

Tersedia d Perpustakaan utama kampus 1 ruang karya ilmiah lantai 2

PROBLEM BASED LEARNING

Dalam dunia pendidikan, ada beberapa metode pembelajaran yang banyak digunakan di dalam kelas. Salah satunya adalah Problem Based Learning atau yang biasa disebut dengan Pembelajaran Berbasis Masalah. Sesuai dengan namanya, Pembelajaran Berbasis Masalah merupakan salah satu metode pembelajaran inovatif yang lebih memfokuskan pad a pemecahan masalah. Pemecahan masalah digunakan sebagai cara untuk mengembangkan kompetensi peserta didik. Pembelajaran berbasis masalah melatih peserta didik mempelajari konten pengetahuan dan mengatasi masalah dalam kehidupan nyata. Hadirnya buku Problem Based Learning menjadi salah satu cara yang dapat digunakan oleh para pendidik dalam usaha membantu peserta didik agar menjadi kompeten dalam memecahkan masalah dan menghadapi tantangan ke depan.

Hadirnya buku Problem Based Learning menjadi salah satu cara yang dapat digunakan oleh para pendidik dalam usaha membantu peserta didik agar menjadi kompeten dalam memecahkan masalah dan menghadapi tantangan ke depan.

Knowledge management Menintegrasi Digital Tool Dalam Rencana Pembelajaran

Demokrasi kita ala Hatta dalam teori & praktek

Concept and implementation of democracy from viewpoint of Mohammad Hatta, the first Vice President of the Republic of Indonesia, 1945-1956.

Tulisan ini semula berjudul "Demokrasi Revolusi versus Demokrasi ala Hatta",
oleh editor judulnya disesuaikan dengan isinya menjadi "Demokrasi Kita ala
Hatta dalam Teori dan Praktek ". Sebenarnya kedua nama ini sama saja, tapi ...

Design of Intelligent Multi-Agent Systems

Human-Centredness, Architectures, Learning and Adaptation

There is a tremendous interest in the design and applications of agents in virtually every area including avionics, business, internet, engineering, health sciences and management. There is no agreed one definition of an agent but we can define an agent as a computer program that autonomously or semi-autonomously acts on behalf of the user. In the last five years transition of intelligent systems research in general and agent based research in particular from a laboratory environment into the real world has resulted in the emergence of several phenomenon. These trends can be placed in three catego ries, namely, humanization, architectures and learning and adapta tion. These phenomena are distinct from the traditional logic centered approach associated with the agent paradigm. Humaniza tion of agents can be understood among other aspects, in terms of the semantics quality of design of agents. The need to humanize agents is to allow practitioners and users to make more effective use of this technology. It relates to the semantic quality of the agent design. Further, context-awareness is another aspect which has as sumed importance in the light of ubiquitous computing and ambi ent intelligence. The widespread and varied use of agents on the other hand has cre ated a need for agent-based software development frameworks and design patterns as well architectures for situated interaction, nego tiation, e-commerce, e-business and informational retrieval. Fi- vi Preface nally, traditional agent designs did not incorporate human-like abilities of learning and adaptation.

Intelligent. Action. Acquisition. for. Animated. Learning. Agents'. Adam Szarowicz,
Marek Mittmann, Jaroslaw Francik Generation of animated human figures
especially in crowd scenes has many applications in such domains as the
special effects industry, computer games or for the simulation of the evacuation
from crowded areas. Current systems allow for partially automatic generation of
scenes involving a few interacting characters but expensive manual labour is still
necessary in ...

Intelligent Multimedia Multi-Agent Systems

A Human-Centered Approach

Intelligent Multimedia Multi-Agent Systems focuses on building intelligent successful systems. The book adopts a human-centered approach and considers various pragmatic issues and problems in areas like intelligent systems, software engineering, multimedia databases, electronic commerce, data mining, enterprise modeling and human-computer interaction for developing a human-centered virtual machine. The authors describe an ontology of the human-centered virtual machine which includes four components: activity-centered analysis component, problem solving adapter component, transformation agent component, and multimedia based interpretation component. These four components capture the external and internal planes of the system development spectrum. They integrate the physical, social and organizational reality on the external plane with stakeholder goals, tasks and incentives, and organization culture on the internal plane. The human-centered virtual machine and its four components are used for developing intelligent multimedia multi-agent systems in areas like medical decision support and health informatics, medical image retrieval, e-commerce, face detection and annotation, internet games and sales recruitment. The applications in these areas help to expound various aspects of the human-centered virtual machine including, human-centered domain modeling, distributed intelligence and communication, perceptual and cognitive task modeling, component based software development, and multimedia based data modeling. Further, the applications described in the book employ various intelligent technologies like neural networks, fuzzy logic and knowledge based systems, software engineering artifacts like agents and objects, internet technologies like XML and multimedia artifacts like image, audio, video and text.

This book is about developing intelligent multimedia multi-agent systems based
on a human-centered approach. It is relevant to practitioners and researchers in
areas like human-centered systems, intelligent systems, multimedia, image
processing, internet and e-commerce, e-health and health informatics, software
engineering (especially those using patterns and adapter technologies) and
cognitive science. The book is an outcome of research done in areas like work-
centered ...

Engineering Intelligent Hybrid Multi-Agent Systems

Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in areas involving hybrid configurations of knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and in knowledge discovery and data mining. Through examples and applications a synergy of these subjects is demonstrated. The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents. An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described. Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.

Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.