| Preface | |
| Quantum Limits on Information Transmission for Single and Many Channels Architectures | p. 1 |
| Introduction | p. 2 |
| Quantum Limits on the Information Flow | p. 3 |
| The Linear Quantum Bound on the Information Flow | p. 4 |
| Analytical Proofs | p. 5 |
| The heuristic 'proof' | p. 6 |
| Microcanonical proof | p. 7 |
| The information theoretical approach | p. 9 |
| Many channels architecture | p. 10 |
| Signalling with 'non-occupation number' states | p. 11 |
| Signalling with Coherent States | p. 11 |
| Quantum detection and quantum noise | p. 13 |
| Quantum states for signalling | p. 15 |
| Concluding Remarks | p. 17 |
| References | p. 17 |
| Algorithmic Randomness, Physical Entropy, Measurements, and the Second Law | p. 19 |
| Introduction | p. 20 |
| Definitions of Algorithmic Randomness | p. 21 |
| Thermodynamics Engines, the Second Law, and Shannon's Noiseless Coding Theorem | p. 25 |
| References | p. 31 |
| Cooperative Problem Solving | p. 33 |
| Introduction | p. 34 |
| Constraint Satisfaction Problems | p. 35 |
| Search | p. 37 |
| Individual search | p. 38 |
| Search in cryptarithmetic | p. 39 |
| Relating search steps to time | p. 40 |
| Non-cooperative search | p. 41 |
| Cooperative search | p. 41 |
| Performance measures | p. 44 |
| Experimental Results | p. 45 |
| Problem solving by committee | p. 45 |
| Problem solving by hierarchical organizations | p. 54 |
| Theory | p. 56 |
| Single agent behavior | p. 56 |
| Relating search steps to time | p. 57 |
| Non-cooperative agents | p. 58 |
| Cooperative agents | p. 59 |
| Dynamic cooperation | p. 65 |
| Discussion | p. 66 |
| References | p. 69 |
| Directed-Graph Epidemiological Models of Computer Viruses | p. 71 |
| Introduction | p. 72 |
| The problem of computer viruses | p. 72 |
| Previous work on computer virus spread | p. 73 |
| Previous epidemiological models and their limitations | p. 74 |
| SIS Model on a Random Graph | p. 76 |
| Deterministic approximation | p. 77 |
| Probabilistic analysis | p. 78 |
| Simulations | p. 85 |
| Weak links | p. 88 |
| Hierarchical Model | p. 90 |
| Spatial Model | p. 93 |
| Deterministic analysis | p. 93 |
| Simulations on two-dimensional lattices | p. 94 |
| Conclusion | p. 97 |
| References | p. 100 |
| The Use of Physics Concepts in Computation | p. 103 |
| Introduction | p. 104 |
| Complex Systems and the Space-Time Picture | p. 105 |
| Problems and computers | p. 105 |
| Space-time picture | p. 109 |
| Spatial Structure of Problems and Computers | p. 111 |
| Performance model of homogeneous multicomputers | p. 111 |
| Information dimension | p. 117 |
| Physical analogy | p. 122 |
| Load balancing | p. 125 |
| Dynamic load balancing | p. 129 |
| The Dynamics and Temporal Structure of Computation | p. 135 |
| The string formalism | p. 135 |
| Message routing | p. 136 |
| Optimizing compilers | p. 139 |
| The neural navigator | p. 142 |
| Classical dynamics | p. 145 |
| Event driven simulation | p. 146 |
| The elastic network | p. 147 |
| Problem Architectures | p. 148 |
| Matching the Space-Time Structure of Problems and Computers | p. 152 |
| The duality between memory structure of the computer and space-time structure of the problem | p. 152 |
| Parallel computer software | p. 154 |
| References | p. 156 |
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