Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer

This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems. First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to swi…

Memories of a theoretical physicist :a journey across the landscape of string…

"Breakthrough Prize recipient Joseph Polchinksi (now deceased) reveals details of his upbringing, his collaborations with major figures in physics, and his significant contributions to string theory and cosmology"--OCLC-licensed vendor bibliographic record.

Protein NMR; Modern Techniques and Biomedical Applications

Daftar Isi: Penentuan Spektrum NMR Protein Menggunakan Tutorial NMR-A Heteronuklear Memetakan Dinamika Hidrasi Protein oleh Overhauser Polarisasi Nuklir Dinamis Spektroskopi NMR Dispersi Relaksasi Larutan PRE NMR Penyempitan Garis dalam NMR Sampel Berorientasi Protein Membran Spektroskopi Protein NMR (Nuclear Magnetic Resonance) adalah teknik ampuh yang digunakan untuk menentukan struktur, dina…

Technology and the Dream: Reflections on the Black Experience at MIT, 1941–…

Originally published: 2001.Includes index.Transcripts of more than seventy-five oral history interviews in which the interviewees assess their MIT experience and reflect on the role of blacks at MIT and beyond. This book grew out of the Blacks at MIT History Project, whose mission is to document the black presence at MIT. The main body of the text consists of transcripts of more than seventy-fi…

"Learnability in Optimality Theory "

Edition

1

ISBN/ISSN

9780262284790

Collation

-

Series Title

-

Call Number

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Learnability in optimality theory /

Annotation

"Learning in Embedded Systems "

It is the first detailed exploration of the problem of learning action strategies in the context of designing embedded systems that adapt their behavior to a complex, changing environment; such systems include mobile robots, factory process controllers, and long-term software databases.Learning to perform complex action strategies is an important problem in the fields of artificial intelligence…

Learning Kernel Classifiers: Theory and Algorithms

Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This…

Protein Modifications in Pathogenic Dysregulation of Signaling

Kata pengantar; Modifikasi protein pasca-translasi sangat penting untuk mengatur berbagai jalur transduksi sinyal intraseluler, yang mengontrol proses biologis penting seperti perkembangan embrio, dan fungsi sistem kekebalan dan saraf. Besaran dan durasi aktivasi sinyal diatur secara ketat oleh banyak regulator positif dan negatif. Menjadi semakin jelas bahwa dinamika spatiotemporal dari modifi…

Protein Ligation and Total Synthesis II

Kata pengantar; Protein, sebagai molekul organik penting bagi kehidupan, telah memikat para ahli kimia sejak dimulainya kimia organik sintetik. Saat ini, bidang sintesis protein kimia melampaui upaya ilmiah murni, menawarkan molekul berharga untuk penelitian biokimia dan pengembangan obat. Kimia sintetik memberikan kontrol yang tak tertandingi terhadap komposisi protein, melebihi kemampuan meto…