chapter 1 Multi-Agent Systems and Simulation: A Survey from the Agent Commu- nity’s Perspective / chapter 2 Multi-Agent Systems and Simulation: A Survey from an Application Perspective Klaus G. Troitzsch -- chapter 3 Simulation Engines for Multi-Agent Systems Lees / chapter event list 20 96552 dequeue() LT 2 enqueue(7, SORT) Type TRUCK_ARRIVAL Payload 5000 TRUCK_ARRIVAL_HANDLER load += payload if (sorting != true) execute() sorting = true; enqueue(7, SORT); end if -- chapter initialise RTI -- FEDERATE FEDERATE FEDERATE -- chapter CLP CLP ALP ALP ALP ALP -- chapter 4 Polyagents: Simulation for Supporting Agents’ Decision Making H. Van Dyke Parunak and Sven A. Brueckner -- chapter Avatar Ghosts Ghost time τ Insertion Horizon Prediction Horizon Measure Ghost fitness Observe Ghost prediction -- chapter 5 Combining Simulation and Formal Tools for Developing Self-Organizing Luca Gardelli, Mirko Viroli, and Andrea Omicini / chapter EBDAFC -- chapter 600 500 400 300 200 100 0 0 200 400 600 800 1000 1200 1400 1600 Time -- chapter 600 500 400 300 200 100 0 0 200 400 600 800 1000 1200 1400 1600 Time -- chapter 160 140 120 100 80 60 40 20 0 0 200 400 600 800 1000 1200 1400 1600 Time -- chapter 0 18 0.16 0.14 0.12 0.10.08 0.06 0.04 0.02 005 10 15 20 25 30 35 40 Items -- chapter 10 90.80.70.60.50.40.30.20.100 100 200 300 400 500 600 Time -- chapter 10 90.80.70.60.50.40.30.20.1 10 20 30 40 50 60 70 80 90 100 base rate -- chapter 0 98 0.96 0.94 0.92 0.90.88 0.86 30 32 34 36 38 40 base rate / chapter 10 90.80.70.60.50.40.30.20.100 50 100 150 200 250 Time / chapter 115 110 105 100 95 90 85 80 75 10 15 20 25 30 35 40 45 Items -- chapter 6 On the Role of Software Architecture for Simulating Multi-Agent Systems Alexander Helleboogh, Danny Weyns, and Tom Holvoet -- chapter Aspect Weaving -- Trace Aspect Trace Trace Trace Control API Control API Trace Control API Control API -- chapter 7 Replicator Dynamics in Discrete and Continuous Strategy Spaces Karl Tuyls and Ronald Westra -- chapter 8 Stigmergic Cues and Their Uses in Coordination: An Evolutionary Approach / chapter i5i4i3i1i2 -- chapter Actions (3) Hidden (5) Fruits Tree 1 (20) Fruits Tree 2 (20) Eating feed-back (2) Action memory (3) -- 8.6.2 Evolution of Practical Behavior -- chapter FitBest FitAve / chapter 9 Challenges of Country Modeling with Databases, Newsfeeds, and Expert Surveys / chapter 10 Crowd Behavior Modeling: From Cellular Automata to Multi-Agent Systems / chapter t=0 t=1 t=2 -- chapter Abstract scenario Computational model Experiment-specific specification for the scenario parameters Definition of the MMASS spatial structure Definition of active elements Definition of monitored of the environment and parameters and specification field types of monitoring mechanisms Definition of mobile agents Specific simulation configuration (types, states, perceptive (number, type, position and capabilities and behavioural initial state of mobile agents, specification) other parameters) -- chapter WPSGE -- chapter Pedest r ian Abst rac tAgent Sing leLayerAgent Act iveObject GraphSpace Abst rac tSpace Regu la rSpace BasicSi te GraphNode FloodDi f fus ion F ie ldGroup F ie ldManager AbstractDi f fus ion VonNeumannDi f fus ion SumCompos iti on Fie ld Abst rac tCompos i t ion Roo fSumCompos iti on -- chapter AbstractAgent basic API Pedestrian Agent Action method -- chapter 11 Agents for Traffic Simulation -- chapter Macroscopic model Microscopic model Cellular automaton -- chapter Vehicle limits (motorization, Road conditions Traffic legislation max, braking) (rain, snow, slickness) (speed limits) Visibility conditions (fow, night) Infrastructure (ramps, lane narrowings, uphill gradients) Velocity Path finding in the network differences Gaps -- chapter 90 120 80 100 v =120 km/h, T=1.0 s 70 v =80 km/h, T=1.0 s v =120 km/h, T=1.5 s v =80 km/h, T=1.5 s v =120 km/h, T=2.0 s 60 v =80 km/h, T=2.0 s 80 50 60 40 40 30 20 20 (b) (1-ρ(l+s ))/T (1-ρ(l+s ))/T v0 T v -- Density ρ (vehicles/km) Density ρ (vehicles/km) 3000 =120 km/h, T=1.0 s 3000 =80 km/h, T=1.0 s =120 km/h, T=1.5 s v =80 km/h, T=1.5 s 2500 =120 km/h, T=2.0 s 2500 =80 km/h, T=2.0 s -- chapter GUI XML Command Line Simulation Controller Road Section Driver−Vehicle Agent Models SimViewer Measurements Video Screen File -- Graphical User Interface File−based input parameters, parameters user actions parameters -- chapter Upstream Driving direction Boundary Stop-and-go Wave Interactive scroll bars: Main flow, ramp flow, etc. www.traffic-simulation.de Downstream On-ramp Boundary -- chapter Detection of an upstream front Detection of a downstream jam front Vehicle trajectories Vehicle trajectories in the opposite driving direction Encounters with transmitter cars and message reception 0 Message reception of the considered car Upstream jam front 2bers 8Messag Downstream jam front Traffic congestion / chapter 12 An Agent-Based Generic Framework for Symbiotic Simulation Systems -- chapter 13 Agent-Based Modeling of Stem Cells -- chapter ... ... -- chapter 14 RoboCup Rescue: Challenges and Lessons Learned -- chapter kernel Data and commands exchanged by protocol between modules GIS internal interface agents GIS component simulators civilian agents fire station traffic simulator rescue team building collapse police office refuge fire brigade building data fire simulator node ambulance team road 2D, 3D viewers police force network data : police center disaster parameters -- chapter Kobe KobeBig 0.4 Virtual City 0.20abcdefghijklmnopq -- chapter 1 10 A1 B1 search for fires -- extinguish fires fill water tank -- chapter 15 Agent-Based Simulation Using BDI Programming in -- chapter 16 Environment GridWorldModel GridWorldView FoodModel FoodView FoodEnvironment / chapter Explicit, High-Level Model Representation Interpreter Interactive Frontend Simulator Animation Analysis Routines Protocol Data -- chapter SimObject Agent World Body Behavior ( Map ) Ressource 1..1 Body Variable 0..* Name Variables Value DataType AccessibilityInfo Update Function -- chapter 17 JAMES II -Experiences and Interpretations -- chapter Schicht 1 Benutzerschnittstelle Schicht 2 Datenbank Experiment Modell Schicht 3 Simulation Simulator Benutzerschnittstelle Simulation verwendet Experiment Datenbank Simulator Modell Layer 1 User interface Layer 2 Database Experiment Model Layer 3 Simulation Simulator User interface Simulation Experiment Data sink Simulator Model -- startet schreibt/liest -- chapter cal l:Call response:Response receive:Message send:Message statin:Status main: Handler status: StatusHandler sesX: session -- statout:Status closed:boolean logout:boolean toX:Message statout:Status statin:Status send:Message -- chapter node 1 user ... -- chapter Manet (impl) -- [0..1] social SocialEnv[0..1] social positions positions node 1..n: [1..n] -- chapter SimpleUser (impl) ActivityUser (impl) SocialUser (impl) Node (impl) -- motion: motion: motion: Motion Motion Motion activity: activity: activity: status social: social -- chapter 10000 1000 100 SimpleUser SocialUser 10 0 50 100 150 200 250 300 #nodes.