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faadooengineers.com

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The app is a complete free handbook of Artificial Intelligence with diagrams and graphs. It is part of Computer science or software engineering education which brings important topics, notes, news & blog on the subject. The App serves as a quick reference guide on this engineering subject. 

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. AÃ¢Ë†â€” 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.
Aplikasi ini adalah sebuah buku panduan percuma lengkap Kepintaran Buatan dengan gambar rajah dan graf. Ia adalah sebahagian daripada sains komputer atau pendidikan kejuruteraan perisian yang membawa topik penting, nota, berita & blog mengenai subjek ini. App berfungsi sebagai panduan mudah kepada kejuruteraan perkara ini.

Ia meliputi lebih daripada 600 topik Kepintaran Buatan, Automata, sistem masa nyata & Neuro kabur secara terperinci. Topik-topik dibahagikan kepada 5 unit.

Setiap topik lengkap dengan gambar rajah, persamaan dan bentuk-bentuk perwakilan grafik untuk pembelajaran yang lebih baik dan pemahaman yang cepat. App akan menyediakan pembelajaran lebih cepat dan semakan cepat mengenai subjek ini.

mata pelajaran tambahan beberapa yang telah dimasukkan ke dalam aplikasi ini adalah

automata
Rangkaian neural sistem kabur
Sistem masa nyata

Beberapa topik yang dilindungi dalam permohonan ini adalah:

1. ujian Turing
2. Pengenalan kepada Kepintaran Buatan
3. Sejarah AI
Kitaran 4. AI
5. Representasi Pengetahuan
6. masalah AI biasa
7. Had AI
8. Pengenalan kepada Agents
9. Prestasi Agent
10. Agen pintar
11. Struktur Agen pintar
12. Jenis-jenis program ejen
13. Agents Goal berdasarkan
14. ejen berdasarkan Utility-
15. Agents and persekitaran
16. seni bina Agent
17. Cari Solutions
18. Spaces Negeri
19. Graph Mencari
20. A Generic Mencari Algoritma
21. Strategi Search yang tidak mengerti
22. Keluasan-First Search
23. heuristik Carian
24. AA ¢ Ë † â € "Search
25. Cari Tree
26. Kedalaman Cari pertama
27. Sifat Kedalaman Pertama Cari Cari
28. Bi-arah carian
29. Cari Graf
30. Strategi Cari Dimaklumkan
31. Kaedah Bermaklumat Carian
32. tamak Carian
33. Bukti Kebolehterimaan A *
34. Sifat Heuristik
35. lelaran-Pendalaman A *
36. Lain-lain Memory carian heuristik terhad
37. N-Queens eample
38. Pertentangan Carian
39. Algoritma Genetik
40. Permainan
41. keputusan Optimal dalam Permainan
algoritma 42. MINIMAX
43. Alpha Beta Pemangkasan
44. memundurkan
45. Teknik Consistency Didorong
46. ​​Path Ketekalan (K-Consistency)
47. Perhatikan
48. usulan Logik
49. Syntax of Calculus usulan
50. Representasi Pengetahuan dan penalaran
51. usulan Logik Inference
52. Fasal Definite usulan
53. Ilmu-Level Debugging
54. Peraturan Inference
55. Kekukuhan dan Kesempurnaan
56. First Order Logik
57. Penyatuan 58. Semantics
59. Herbrand Universe
60. Soundness, Kesempurnaan, Consistency, Satisfiability
61. Resolusi
62. Herbrand Revisited
63. Bukti tentang Search
64. Sesetengah Strategi Bukti
65. Bukan monotonic Penaakulan
66. Kebenaran Maintenance Systems
67. Sistem Peraturan Berdasarkan
68. Pure Prolog
69. Forward chaining
70. Chaining ke belakang
71. Pilihan antara ke hadapan dan ke belakang chaining
72. DAN / ATAU Trees
73. Hidden Markov Model
74. rangkaian Bayesian
75. Isu-isu Pembelajaran
76. Pembelajaran terselia
77. Pokok Keputusan
78. Pengetahuan Formalisms Perwakilan
79. Rangkaian Semantik
80 Inference dalam Net Semantic
81. Melanjutkan Nets Semantik
82 Frames
83 Slots sebagai Objek
84 bingkai Mentafsir
85 Pengenalan kepada Perancangan
86. Penyelesaian Masalah vs Perancangan
87. Logik Perancangan Berdasarkan
88. Perancangan Sistem
89. Perancangan seperti Search
90. Situasi-Space Planning Algoritma
Perancangan 91. separa Tempahan
92. Plan-Space Planning Algoritma
93. interleaving vs Non-interleaving daripada langkah Sub-Plan
94. Mudah Sock / Contoh Kasut
95. Pertimbangan berkebarangkalian
96. Kajian Teori Kebarangkalian
97. Semantics of Bayesian Networks
98. Pengenalan kepada Pembelajaran
99. Taksonomi Pengajian Systems
100. penggubalan Matematik masalah pembelajaran induktif

AI akan menjadi salah satu daripada teknologi yang paling penting pada zaman akan datang. Ia adalah satu kajian mesti mempunyai untuk kejuruteraan, sains komputer, kejuruteraan perisian dan lain-lain pelajar sains kognitif. Ia juga akan menjadi sangat penting bagi mekanikal, Automotive & elektrik pelajar kejuruteraan dan Profesional.

Memuat turun aplikasi untuk pengenalan kepada AI dan teknologi yang berkaitan.


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