Artificial Intelligence APK
App information
Version 6.0 (#4400000)
Updated 2023-12-09
APK Size 9.8 MB
Requires Android Android 4.1+ (Jelly Bean)
Offered by Engineering Apps
Category Free Education App
App id com.faadooengineers.free_artificialintelligence
Developer's notes Best App on basics of Artificial Intelligence (AI), Learn a topic in a minute
Screenshot
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Table of contents
Latest updates
What's new in Artificial Intelligence 6.0
• Chapter and topics made offline access
• New Intuitive Knowledge Test & Score Section
• Search Option with auto-prediction to get straight the your topic
• Fast Response Time of Application
• Provide Storage Access for Offline Mode
Editor's review
Download the latest Artificial Intelligence application, version 6.0, compatible with Windows 10/11 (using emulators such as Bluestacks), Android devices. This free Education app is developed by Engineering Apps and is easy to download and install.
Previous versions, including 6.0, 7, are also available. If you need help or have any problems, please let us know.
Description
It covers more than 600 topics of Artificial Intelligence, Automata, Real-time systems & Neuro fuzzy in detail. The topics are divided into 5 units.
Each topic is complete with diagrams, equations and other forms of graphical representations for better learning and quick understanding. The App will provide faster learning and quick revisions on the subject.
Few Additional subjects which have been included in the app are
Automata
Neural network fuzzy systems
Real-time Systems
Some of the topics Covered in this application are:
1. Turing test
2. Introduction to Artificial Intelligence
3. History of AI
4. The AI Cycle
5. Knowledge Representation
6. Typical AI problems
7. Limits of AI
8. Introduction to Agents
9. Agent Performance
10. Intelligent Agents
11. Structure Of Intelligent Agents
12. Types of agent program
13. Goal based Agents
14. Utility-based agents
15. Agents and environments
16. Agent architectures
17. Search for Solutions
18. State Spaces
19. Graph Searching
20. A Generic Searching Algorithm
21. Uninformed Search Strategies
22. Breadth-First Search
23. Heuristic Search
24. A∗ Search
25. Search Tree
26. Depth first Search
27. Properties of Depth First Search
28. Bi-directional search
29. Search Graphs
30. Informed Search Strategies
31. Methods of Informed Search
32. Greedy Search
33. Proof of Admissibility of A*
34. Properties of Heuristics
35. Iterative-Deepening A*
36. Other Memory limited heuristic search
37. N-Queens eample
38. Adversarial Search
39. Genetic Algorithms
40. Games
41. Optimal decisions in Games
42. minimax algorithm
43. Alpha Beta Pruning
44. Backtracking
45. Consistency Driven Techniques
46. Path Consistency (K-Consistency)
47. Look Ahead
48. Propositional Logic
49. Syntax of Propositional Calculus
50. Knowledge Representation and Reasoning
51. Propositional Logic Inference
52. Propositional Definite Clauses
53. Knowledge-Level Debugging
54. Rules of Inference
55. Soundness and Completeness
56. First Order Logic
57. Unification 58. Semantics
59. Herbrand Universe
60. Soundness, Completeness, Consistency, Satisfiability
61. Resolution
62. Herbrand Revisited
63. Proof as Search
64. Some Proof Strategies
65. Non-Monotonic Reasoning
66. Truth Maintenance Systems
67. Rule Based Systems
68. Pure Prolog
69. Forward chaining
70. backward Chaining
71. Choice between forward and backward chaining
72. AND/OR Trees
73. Hidden Markov Model
74. Bayesian networks
75. Learning Issues
76. Supervised Learning
77. Decision Trees
78. Knowledge Representation Formalisms
79. Semantic Networks
80. Inference in a Semantic Net
81. Extending Semantic Nets
82. Frames
83. Slots as Objects
84. Interpreting frames
85. Introduction to Planning
86. Problem Solving vs. Planning
87. Logic Based Planning
88. Planning Systems
89. Planning as Search
90. Situation-Space Planning Algorithms
91. Partial-Order Planning
92. Plan-Space Planning Algorithms
93. Interleaving vs. Non-Interleaving of Sub-Plan Steps
94. Simple Sock/Shoe Example
95. Probabilistic Reasoning
96. Review of Probability Theory
97. Semantics of Bayesian Networks
98. Introduction to Learning
99. Taxonomy of Learning Systems
100. Mathematical formulation of the inductive learning problem
AI is going to be one of the most important technologies in the coming days. It is a must have study for engineering, computer science, software engineering and other cognitive science students. It also going to be extremely important for mechanical, Automotive & electrical engineering students and Professionals.
Download the app for the introduction to AI and related technology.
App permissions
Artificial Intelligence 6.0 APK requires following permissions:
Allows applications to access information about networks.
Allows applications to open network sockets.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.
Allows an application to write to external storage.
Allows an application to read from external storage.
Ratings and Reviews
Rating: 4.1/5 based on 4+ reviews
(*) is required
1 ★ Lots of wrong Information.
5 ★ I t helped me a lot
1 ★ Fricking die be scared.
1 ★ It isnt open
5 ★ Bari ahe
5 ★ Very useful
5 ★ I was looking for abroad study and this app had helped me a lot
5 ★ Very helpful app with short and easy to understand content.
5 ★ Topics related to this field are given and it is easy to understand...
5 ★ It is very helpful app thanks
5 ★ Great app to know about AI
4 ★ Basics of artificial intelligence...
5 ★ Excellent intro to ai
5 ★ mind blowing
5 ★ Educational
Previous versions
Artificial Intelligence 6.0 APK for Windows (#4400000, 9.8 MB)
Artificial Intelligence 7 APK for Windows (#3002000, 9.4 MB)
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