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Agent-based intelligent information dissemination in dynamically changing environments |
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1 | (3) |
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Overview of the Anticipator |
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4 | (1) |
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The Anticipator in an information dissemination system |
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5 | (1) |
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6 | (3) |
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Profile variable definitions |
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7 | (1) |
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7 | (1) |
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8 | (1) |
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9 | (1) |
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9 | (3) |
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Parameterized information requests |
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12 | (2) |
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14 | (4) |
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14 | (1) |
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14 | (1) |
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15 | (1) |
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Time-driven event monitoring agents |
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16 | (1) |
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Data-driven event monitoring agents |
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17 | (1) |
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18 | (3) |
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21 | (2) |
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23 | (1) |
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24 | (3) |
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25 | (1) |
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25 | (2) |
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Automating human information agents |
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27 | (2) |
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29 | (1) |
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30 | (2) |
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``Conscious'' software agents |
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32 | (1) |
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32 | (5) |
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37 | (16) |
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38 | (1) |
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39 | (2) |
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41 | (1) |
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42 | (3) |
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45 | (1) |
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46 | (3) |
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49 | (3) |
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52 | (1) |
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53 | (6) |
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54 | (5) |
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Knowledge robots for knowledge workers: self learning agents connecting information and skills |
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59 | (3) |
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62 | (3) |
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65 | (10) |
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75 | (1) |
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The artificial environment |
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76 | (2) |
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78 | (5) |
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79 | (4) |
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Ontologies in Web intelligence |
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83 | (1) |
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Representation and categories of ontologies |
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84 | (2) |
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Ontologies for Web intelligence |
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86 | (4) |
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86 | (3) |
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89 | (1) |
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Automatic construction of ontologies |
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90 | (7) |
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91 | (2) |
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93 | (3) |
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96 | (1) |
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97 | (4) |
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97 | (1) |
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97 | (4) |
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Software agents for Internet-based systems and their design |
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101 | (2) |
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Principles of Internet agent-based systems |
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103 | (4) |
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Internet-based components |
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103 | (1) |
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104 | (1) |
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Internet-agent integration |
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105 | (2) |
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Classifications of Internet agent-based systems |
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107 | (6) |
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107 | (1) |
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108 | (2) |
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110 | (3) |
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Communication and coordination in Internet agent-based systems |
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113 | (5) |
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Procedures and technologies for designing Internet agent-based systems |
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118 | (2) |
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Internet agents for system design |
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120 | (3) |
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123 | (19) |
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An IAS for inventory control |
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123 | (1) |
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Inventory management problem and its solution |
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123 | (2) |
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125 | (2) |
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Define computing platform |
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127 | (1) |
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128 | (1) |
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Build communication system |
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129 | (1) |
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129 | (1) |
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130 | (1) |
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131 | (1) |
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E-marketplace problem with special focuses and its solution |
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132 | (1) |
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132 | (1) |
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Define computing platform |
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133 | (1) |
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134 | (4) |
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Build communication system |
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138 | (1) |
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139 | (1) |
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140 | (2) |
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142 | (7) |
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142 | (1) |
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142 | (7) |
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Compositional design and maintenance of broker agents |
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149 | (2) |
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Electronic commerce and brokering |
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151 | (1) |
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Compositional design of the generic broker agent |
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152 | (5) |
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Compositional design of multi-agent systems |
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152 | (1) |
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152 | (1) |
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153 | (1) |
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Relation between process composition and knowledge composition |
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154 | (1) |
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Design of the generic broker agent |
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154 | (3) |
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Generic and domain specific knowledge |
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157 | (5) |
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Agent specific task: determine proposals |
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157 | (1) |
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Agent interaction management |
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158 | (1) |
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158 | (2) |
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160 | (1) |
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161 | (1) |
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World-interaction management |
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162 | (1) |
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Maintenance of world and maintenance of agent information |
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162 | (1) |
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162 | (5) |
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Basic functionalities depending on the agent's knowledge |
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163 | (2) |
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Reactive, pro-active, and other forms of behavior |
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165 | (2) |
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Maintenance by communication |
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167 | (2) |
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Communication of maintenance knowledge |
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167 | (1) |
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Controlling maintenance in own process control |
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168 | (1) |
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169 | (4) |
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170 | (1) |
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170 | (3) |
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Collective behavior evolution in a group of cooperating agents |
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173 | (5) |
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174 | (1) |
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174 | (1) |
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Collective behavior learning |
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174 | (2) |
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Application of genetic algorithms in robotics |
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176 | (1) |
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The organization of the chapter |
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177 | (1) |
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178 | (2) |
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What is the collective behavior of an ant system? |
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178 | (1) |
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What is group behavior learning? |
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179 | (1) |
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180 | (2) |
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180 | (1) |
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181 | (1) |
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Performance criterion for collective object-moving |
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181 | (1) |
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Evolving a collective object-moving behavior |
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181 | (1) |
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Collective object-moving by applying repulsive forces |
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182 | (11) |
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A model of artificial repulsive forces |
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182 | (2) |
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Moving force and the resulting motion of an object |
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184 | (1) |
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Chromosome representation |
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185 | (1) |
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186 | (1) |
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Experiments with simulated ants |
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187 | (1) |
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187 | (1) |
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187 | (2) |
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Generation of a collective moving behavior |
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189 | (1) |
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189 | (2) |
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191 | (2) |
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Collective object-moving by exerting external contact forces and torques |
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193 | (17) |
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Interaction between three ants and an object |
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193 | (1) |
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Case 1: moving a round object |
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194 | (1) |
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Moving position and direction |
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194 | (1) |
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194 | (1) |
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Case 2: Moving a square object |
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195 | (1) |
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195 | (1) |
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196 | (1) |
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Chromosome representation |
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196 | (1) |
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197 | (1) |
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Experiments with simulated ants |
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198 | (1) |
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198 | (1) |
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198 | (1) |
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198 | (7) |
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Adaptation to dynamically changing goals |
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205 | (3) |
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208 | (2) |
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210 | (7) |
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212 | (1) |
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213 | (4) |
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Applications of information agent systems |
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217 | (3) |
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Holonic agents for telematics |
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220 | (5) |
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TELETRUCK - a dispatch support system |
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220 | (2) |
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TeleService - mobile agents for remote applications |
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222 | (3) |
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CASA: agents for mobile integrated commerce in forestry and agriculture |
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225 | (7) |
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225 | (1) |
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226 | (1) |
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Holonic agent system of the CASA ITN |
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226 | (2) |
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Agent-based services of the CASA ITN |
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228 | (1) |
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229 | (1) |
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Mobile timber sales: services, interactions, and agents |
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229 | (2) |
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Relevant holonic agents in the MHS scenario |
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231 | (1) |
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231 | (1) |
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MAS-R/3: a multi-agent coordination infrastructure for retail supply webs |
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232 | (7) |
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232 | (1) |
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The supply web application domain |
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233 | (2) |
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Agentification of supply web entities |
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235 | (1) |
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236 | (1) |
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236 | (1) |
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236 | (1) |
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The supply web coordination server |
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237 | (1) |
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Market-based supply web coordination mechanisms |
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238 | (1) |
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239 | (1) |
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Agent-based support of software repositories |
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239 | (11) |
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239 | (1) |
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Domain characteristics and system requirements |
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240 | (2) |
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242 | (1) |
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Archive-based agent in the development environment |
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242 | (1) |
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The agent in the REPTIL environment |
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243 | (1) |
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244 | (1) |
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Agents at the REPTIL site |
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244 | (1) |
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Agents at the archiving server |
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244 | (1) |
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245 | (1) |
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245 | (1) |
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246 | (1) |
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246 | (4) |
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The use of virtual worlds and animated personas to improve healthcare knowledge and self-care behavior: the case of the Heart-Sense game |
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250 | (4) |
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Behavioral and knowledge issues in healthcare |
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250 | (1) |
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Role for interactive learning systems in the national health picture |
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251 | (1) |
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Overview of game simulators and virtual personas |
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251 | (2) |
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Rationale for using the selected domain |
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253 | (1) |
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254 | (6) |
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Behavioral theory as applied to delay in seeking care for heart attack symptoms |
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254 | (3) |
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Instructionist vs. constructivist pedagogy |
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257 | (1) |
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The engage-instruct-construct-persist training plan |
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258 | (2) |
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Interactive learning systems and virtual world |
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260 | (4) |
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261 | (1) |
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262 | (1) |
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The graphical user interface |
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263 | (1) |
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Animated personas and emotive-cognitive architecture |
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264 | (7) |
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Affect theory and emotive drives |
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265 | (2) |
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Merging emotions into higher affect to support cognition |
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267 | (2) |
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Task, plan, and decision processor |
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269 | (1) |
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270 | (1) |
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271 | (5) |
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Evaluation of results and next steps |
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276 | (10) |
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Conclusion and next steps |
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286 | (9) |
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286 | (2) |
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288 | (1) |
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288 | (1) |
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288 | (7) |
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Using agents to build a practical implementation of the INCA (Intelligent Community Alarm) system |
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295 | (2) |
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297 | (1) |
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298 | (1) |
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299 | (8) |
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The problem area addressed |
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300 | (2) |
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Developing an individual care plan |
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302 | (1) |
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302 | (2) |
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304 | (1) |
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305 | (2) |
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The design of the conversation classes |
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307 | (4) |
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The benefits of using agents for INCA |
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311 | (2) |
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Constructing the demonstrator |
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313 | (9) |
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Developing conversation class model using UML |
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313 | (1) |
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Phases of the ZEUS design methodology |
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314 | (6) |
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320 | (2) |
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322 | (1) |
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The agent realization process |
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322 | (1) |
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Implementing the graphical user interfaces |
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323 | (1) |
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323 | (2) |
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325 | (4) |
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325 | (1) |
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326 | (3) |
Index |
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329 | (4) |
List of contributors |
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333 | |