Download e-book for kindle: Agent-Based Modeling Meets Gaming Simulation by K. Arai, H. Deguchi, H. Matsui

By K. Arai, H. Deguchi, H. Matsui

ISBN-10: 4431294260

ISBN-13: 9784431294269

ISBN-10: 4431294279

ISBN-13: 9784431294276

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Number of software agents: six agents with Exploring Business Gaming Strategies by Learning Agents 53 a. Reactive strategy (three agents), b. Hand-coded rules of a human player (two agents), and c. XCS-based machine learning agents (one agent). Using the game, we design the following experiments with three phases: Phase 1: gaming experiments with only human players to study the basic performance of the game and players; Phase 2: gaming with software players with simple hand-coded decision rules and human players to validate the feasibility of the software agent players; Phase 3: gaming with software agents with hand-coded rules and a learning agent with XCS.

To be more specific, we are trying to establish methods of market manipulation by circuit breakers such as commission rate and price movement limits, as well as by controlling the degree and scope of information release, such as the existence of market makers, calculation methods for the indicative price, and change of update intervals. For this purpose, we are conducting basic research to evaluate the price of information and trade-offs to information, such as liquidity and stability, to use the timing and scope to release information as operation parameters.

Garbage can: a committee’s decisions are made when the sum of the participant’s inputted energy exceeds the amount of energy required to make the decisions needed to solve the problems. ” Fig. 1. Explanation example of participant, problem, and committee (garbage can) in the garbage can model 42 T. Kaneda and Y. Hattori 2. Fluttering problems: each problem is thrown into one committee in each term, and under the constraints of the given access structure it moves to another committee, which is best equipped to solve the problem.

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Agent-Based Modeling Meets Gaming Simulation by K. Arai, H. Deguchi, H. Matsui


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