Download Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI PDF Free - Full Version
Download Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI by Marjorie McShane in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI
A novel approach to hybrid AI aimed at developing trustworthy agent collaborators.The vast majority of current AI relies wholly on machine learning (ML). However, the past 30 years of effort in this paradigm have shown that, despite the many things that ML can achieve, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI; that is, AI that combines ML with knowledge-based processing. In Agents in the Long Game of AI, Marjorie McShane, Sergei Nirenburg, and Jesse English present recent advances in hybrid AI with special emphases on content-centric computational cognitive modeling, explainability, and development methodologies.At present hybridization typically involves sprinkling knowledge into an ML black box. The authors, by contrast, argue that hybridization will be best achieved in the opposite by building agents within a cognitive architecture and then integrating judiciously-selected ML results. This approach leverages the power of ML without sacrificing the kind of explainability that will foster society’s trust in AI. This book shows how we can develop trustworthy agent collaborators of a type not being addressed by the “ML alone” or “ML sprinkled by knowledge” paradigms–and why it is imperative to do so.
Detailed Information
| Author: | Marjorie McShane |
|---|---|
| Publication Year: | 2024 |
| ISBN: | 9780262549424 |
| Language: | English |
| File Size: | 1.6 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI PDF?
Yes, on https://PDFdrive.to you can download Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI by Marjorie McShane completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI on my mobile device?
After downloading Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI?
Yes, this is the complete PDF version of Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI by Marjorie McShane. You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
