Computational engineering of historical memories : with a showcase on Afro-Eurasia (ca 1100-1500 CE) /: with a showcase on Afro-Eurasia (ca 1100-1500 CE). (2022)
- Record Type:
- Book
- Title:
- Computational engineering of historical memories : with a showcase on Afro-Eurasia (ca 1100-1500 CE) /: with a showcase on Afro-Eurasia (ca 1100-1500 CE). (2022)
- Main Title:
- Computational engineering of historical memories : with a showcase on Afro-Eurasia (ca 1100-1500 CE)
- Further Information:
- Note: Andrea Nanetti.
- Authors:
- Nanetti, Andrea
- Contents:
- List of Figures List of Abbreviations Foreword Preface Acknowledgements 1 Computational Engineering of Historical Memories 1.1 Vision, Mission, and Motivation from a Human Sciences Perspective 1.2 Reloading the Treasure of Human Experiences into the Digital Time Machine 1.3 The Online System Engineering Historical Memory (EHM): Methods and Tools 2 Historians and Computers 2.1 Computers in the Historian’s Craft. Opportunities and Limits 2.2 Reflections on the Training of Machine Learning Algorithms for the Next Generation of Historians 2.3 Towards a Computational Approach to History. The Principle of Computational Equivalence and the Phenomenon of Computational Irreducibility in Historical Sciences 3 History, Films, and Online Video Streaming 3.1 Communicating History with Films 3.1.1 Documentary Films 3.1.2 Docudramas 3.1.3 Feature Films 3.1.4 Historical Dramas 3.1.5 Compilation Films 3.1.6 User-Generated Content 3.2 Animated Picture as a Privileged Medium to Screen Historical Narratives in Films 3.2.1 Using Animation to Adapt Historical Narratives in Films 3.2.2 Significant Examples of History- Driven Animations 3.3 Validating Historical Narratives in Films 3.3.1 Acquiring Knowledge from History- Based Films. Opportunities and Challenges for the Audience 3.3.1.1 Netflix, Amazon Prime Video, and Disney + 3.3.1.2 MUBI and Curiosity Stream 3.3.1.3 YouTube and TikTok 3.3.1.4 Vimeo 3.3.1.5 History Channel 3.3.1.6 TED 3.3.2 The EHM Approach to Computational Validation ofList of Figures List of Abbreviations Foreword Preface Acknowledgements 1 Computational Engineering of Historical Memories 1.1 Vision, Mission, and Motivation from a Human Sciences Perspective 1.2 Reloading the Treasure of Human Experiences into the Digital Time Machine 1.3 The Online System Engineering Historical Memory (EHM): Methods and Tools 2 Historians and Computers 2.1 Computers in the Historian’s Craft. Opportunities and Limits 2.2 Reflections on the Training of Machine Learning Algorithms for the Next Generation of Historians 2.3 Towards a Computational Approach to History. The Principle of Computational Equivalence and the Phenomenon of Computational Irreducibility in Historical Sciences 3 History, Films, and Online Video Streaming 3.1 Communicating History with Films 3.1.1 Documentary Films 3.1.2 Docudramas 3.1.3 Feature Films 3.1.4 Historical Dramas 3.1.5 Compilation Films 3.1.6 User-Generated Content 3.2 Animated Picture as a Privileged Medium to Screen Historical Narratives in Films 3.2.1 Using Animation to Adapt Historical Narratives in Films 3.2.2 Significant Examples of History- Driven Animations 3.3 Validating Historical Narratives in Films 3.3.1 Acquiring Knowledge from History- Based Films. Opportunities and Challenges for the Audience 3.3.1.1 Netflix, Amazon Prime Video, and Disney + 3.3.1.2 MUBI and Curiosity Stream 3.3.1.3 YouTube and TikTok 3.3.1.4 Vimeo 3.3.1.5 History Channel 3.3.1.6 TED 3.3.2 The EHM Approach to Computational Validation of Historical Information in Films 4 Languages and Cultures at the Computational Turn 4.1 Gazing at the World as Seen from the Others 4.2 A New Tower of Babel? 4.3 Computational Approaches as Tools to Overcome Linguistic Obstacles and Cultural Barriers in the Historian’s Craft 5 EHM Showcase on Afro-Eurasia (ca 1100–1500 CE) 5.1 EHM Computational Engineering of Afro-Eurasian Communication Networks with a Focus on Waterways 5.2 Venetian State-Run Galley Convoys as a Testbed to Design ABMs and Run Simulations 5.3 Framing EHM in the Silk Road Discourse 5.4 Epilogue without Conclusion Index … (more)
- Edition:
- 1st
- Publisher Details:
- London : Routledge
- Publication Date:
- 2022
- Extent:
- 1 online resource
- Subjects:
- 907.21
History -- Research -- Data processing
Collective memory -- Research -- Data processing
Artificial intelligence
History -- Research -- Methodology
Collective memory -- Research -- Methodology - Languages:
- English
- ISBNs:
- 9781000802085
9781000802078 - Related ISBNs:
- 9781032316802
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.811781
- Ingest File:
- 21_029.xml