.png){kind=icon}
Return
Recent Developments in Unifying Logic and Probability
.png){kind=icon}
PRE
AI
DOI：10.1145/2699411.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
PERHAPS THE MOST enduring idea from the early days of AI is that of a declarative system reasoning over explicitly represented knowledge with a general inference engine. Such systems require a formal language to describe the real world; and the real world has things in it. For this rea-son, classical AI adopted first-order logic-the mathe-matics of objects and relations-as its foundation. The key benefit of first-order logic is its expressive power, which leads to concise-and hence learnable-models. For example, the rules of chess occupy 10(0) pages in first-order logic, 10(5) pages in propositional logic, and 10(38) pages in the language of finite automata. The power comes from separating predicates from their arguments and quantifying over
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
12.2
Papers:
1.2W
Citations:
3.7W
Organization
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSaveShareSaveShareSaveLayout Planning Problem in an Innovative Parcel Sorting System Based on Automated Guided Vehicles
PREAI
ShareSave
View more