STATE MACHINES IN ARTIFICIAL INTELLIGENCE

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4.3 Hash links We can realize hash links and create a simple record for every reppresentation we want to store in our system composed by the hash of the representation and the hash links. We can realize hash links by the use of four prime numbers two, three, five and seven. Suppose we have a structure like this : For each level of the tree we have a repetition of the sequence : two-six-three-six. To delete the link you need operate as follow: 42
We have a connection between two representation if there exists one and only one prime number common in the hash link and the hashes of the link sre different If we want to delete a connection we can insert another prime number like five or seven. The number of bits necessary for the implementation are four. 4.4 How to dimesionate the hash space The record space is the number of records (hash) we can store in memory. It is related to the memory and to the number of bits necessary to store a record. The hash space must be dimensioned using this formula : Hs≫T max∗Rs 43
Page 1: Giovanni Alestra STATE MACHINES IN
Page 5 and 6: Contents Introduction 7 1.1 Definit
Page 7 and 8: INTRODUCTION The aim of this book i
Page 9 and 10: position (i,i) we have a one, and t
Page 11 and 12: We can model this situation through
Page 13 and 14: also if the concept is simple, find
Page 15 and 16: At the next step we repeat the prev
Page 17 and 18: 1.7 Sliding connections A sliding c
Page 19 and 20: information of the sliding connecti
Page 21 and 22: Suppose we want to go from Trapani
Page 23 and 24: 13. Return “From “ + StartPlace
Page 25 and 26: y transcription, semantic informatu
Page 27 and 28: In this way, when we have an assert
Page 29 and 30: This problem can be solved by the d
Page 31 and 32: 5. Print “The Set “; String ( C
Page 33 and 34: idenfier and values. Finally we app
Page 35 and 36: The counting is a graph programming
Page 37 and 38: Suppose, for example, we have a che
Page 39 and 40: m Hs m /∏ i=1 Ti −1 We can set
Page 41: 41 The existence of the desired tra
Page 45 and 46: 4.5 Identity Transformation The ide
Page 47 and 48: 4.7 Deletion of zero-record When we
Page 49 and 50: PART III LOGICAL INFERENCE CHAPTER
Page 51 and 52: Possible Move of Rook: X r t1= X r
Page 53 and 54: X r t X d ∗a= X k t Y r t Y d
Page 55 and 56: X r t − X k t Y r t −Y k t -1 0
Page 57 and 58: 5.4 Structured Pieces A rook can ha
Page 59 and 60: if X rt=−1 X k1t∧Y rt−Y k1t=
Page 61 and 62: The capture is possible when : we b
Page 63 and 64: PART IV STATE ANALYSIS CHAPTER 6 :
Page 65 and 66: not d5=0∧d6=0 not d5=d6∧d7=d8 I
Page 67 and 68: SW i=[1,0 ,0,0 ,0,1 ,0,0 ,1,0 ,...
Page 69 and 70: … We can write the formulas we ha
Page 71 and 72: Therefore we know how the system wo
Page 73 and 74: PART V HUMAN KNOWLEDGE CHAPTER 7 :
Page 75: CONCLUSIONS At the beginnig of the

STATE MACHINES IN ARTIFICIAL INTELLIGENCE

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