語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Knowing our worldan artificial intel...
~
Luger, George F.
Knowing our worldan artificial intelligence perspective /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Knowing our worldby George F. Luger.
其他題名:
an artificial intelligence perspective /
作者:
Luger, George F.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xviii, 256 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Artificial Intelligence.
電子資源:
https://doi.org/10.1007/978-3-030-71873-2
ISBN:
9783030718732$q(electronic bk.)
Knowing our worldan artificial intelligence perspective /
Luger, George F.
Knowing our world
an artificial intelligence perspective /[electronic resource] :by George F. Luger. - Cham :Springer International Publishing :2021. - xviii, 256 p. :ill., digital ;24 cm.
PART I, In the Beginning -- 1 Creating Computer Programs: An Epistemic Commitment -- 2 Historical Foundations -- 3 Modern AI and How We Got Here -- PART II, AI: Structures and Strategies for Complex Problem Solving -- 4 Symbol-Based AI and its Rationalist Presuppositions -- 5 Association and Connectionist Approaches to AI -- 6 Evolutionary Computation and Intelligence -- PART III, On Epistemology: Towards an Active, Pragmatic, Model-Revising Realism -- 7 A Constructivist Rapprochement and an Epistemic Stance -- 8 Bayesian-Based Constructivist Computational Models -- 9 Towards an Active, Pragmatic, Model-Revising Realism -- Bibliography -- Index.
Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations.
ISBN: 9783030718732$q(electronic bk.)
Standard No.: 10.1007/978-3-030-71873-2doiSubjects--Topical Terms:
212515
Artificial Intelligence.
LC Class. No.: Q335
Dewey Class. No.: 006.3
Knowing our worldan artificial intelligence perspective /
LDR
:02396nmm a2200325 a 4500
001
601991
003
DE-He213
005
20210703191605.0
006
m d
007
cr nn 008maaau
008
211112s2021 sz s 0 eng d
020
$a
9783030718732$q(electronic bk.)
020
$a
9783030718725$q(paper)
024
7
$a
10.1007/978-3-030-71873-2
$2
doi
035
$a
978-3-030-71873-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q335
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
090
$a
Q335
$b
.L951 2021
100
1
$a
Luger, George F.
$3
218107
245
1 0
$a
Knowing our world
$h
[electronic resource] :
$b
an artificial intelligence perspective /
$c
by George F. Luger.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xviii, 256 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
PART I, In the Beginning -- 1 Creating Computer Programs: An Epistemic Commitment -- 2 Historical Foundations -- 3 Modern AI and How We Got Here -- PART II, AI: Structures and Strategies for Complex Problem Solving -- 4 Symbol-Based AI and its Rationalist Presuppositions -- 5 Association and Connectionist Approaches to AI -- 6 Evolutionary Computation and Intelligence -- PART III, On Epistemology: Towards an Active, Pragmatic, Model-Revising Realism -- 7 A Constructivist Rapprochement and an Epistemic Stance -- 8 Bayesian-Based Constructivist Computational Models -- 9 Towards an Active, Pragmatic, Model-Revising Realism -- Bibliography -- Index.
520
$a
Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world. While humankind's history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology. Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations.
650
0
$a
Artificial Intelligence.
$3
212515
650
0
$a
Artificial intelligence
$x
Philosophy.
$3
274773
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-030-71873-2
950
$a
Computer Science (SpringerNature-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000199641
電子館藏
1圖書
電子書
EB Q335 .L951 2021 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-71873-2
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入