The Oxford Handbook of Agent-Based Computational Management Science / [electronic resource]. Friederike Wall; Shu-Heng Chen; Stephan Leitner.

Description based upon print version of record.

4.4. Slack Resources and Organizational Architecture

Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgements -- Contributors -- Chapter 1 Agent-Based Modelling for Bridging the Micro-Macro Divide in Management Science An Introduction -- 1. Introduction -- 2. On the Micro-Macro Divide in Management Science -- 2.1. Issues and Promises -- 2.2. Linking the Micro Level and Macro Level -- 3. Agent-Based Computational Management Science as a Candidate to Bridge the Micro-Macro Divide -- 3.1. Reciprocity of Micro-Macro Links and Framework of a Generative Model

3.2. The Agent-Based Paradigm as a Generative Approach to the Micro-To-Macro Problem -- 3.3. Conceptualization of Agents -- 4. 'Technical' Aspects of Agent-Based Computational Management Science -- 4.1. Introductions to Agent-Based Modelling and Simulation -- 4.2. Prominent 'Structured' Approaches for Agent-Based Models in Management Science -- 4.3. Some Remarks On the Implementation of Agent-Based Models -- 5. A Brief Overview of the Handbook -- 5.1. Microfoundations of Agent-Based Models in Management -- 5.2. Agent-Based Modelling and Simulation for Theory Building in Management

5.3. Agent-Based Modelling and Simulation for Operational Issues in Management -- 5.4. Reflections and Extensions -- PART I MICROFOUNDATIONS OF AGENT-BASED MODELS IN MANAGEMENT -- Chapter 2 Bounded Rationality: Foundations and Varieties in Agent-Based Modelling -- 1. Motivation -- 2. Mirroring Principle: Breaking the Asymmetry -- 2.1. Bounded Rationality in EBM and ABM -- 2.2. Bounded Models With Full Rationality -- 2.3. Unbounded Models With Bounded Rationality -- 2.4. Dwarfing -- 2.5. Summary -- 3. Darwinism and Bounded Rationality -- 3.1. Two Kinds of Canonical ABM

3.2. Bounded Rationality in the Evolutionary Context -- 3.3. Bounded Rationality in the Computational Context -- 3.4. Modularity Principle -- 3.5. Social and Crowd Psychology -- 3.6. Summary -- 4. Physics and Bounded Rationality -- 4.1. Zero-Intelligence Agents -- 4.2. Entropy Maximization Principle -- 4.3. 'Dumb' Agents -- 4.4. Summary -- 5. Concluding Remarks -- Chapter 3 Artificial Cognition -- 1. Introduction -- 2. Evidence Theory and Belief Functions -- 3. Q-Analysis of Simplicial Families -- 4. Unsupervised Neural Networks -- 5. A Connectionist Conclusion

Chapter 4 Pick Up the Slack: Modelling Resource Availability and Search Processes in Organizations -- 1. Introduction -- 2. Slack Resources and Search in Agent-Based Models -- 2.1. Single-Agent Models -- 2.2. Multiagent Models -- 3. Slack Resources and Search in Empirical Research -- 3.1. Operationalizing Slack Resources -- 3.2. Main Findings -- 4. Open Questions and Future Directions -- 4.1. Performance Fluctuations and the Accumulation of Slack Resources -- 4.2. Slack Resources and Nonlinear Search Patterns -- 4.3. Slack Resources and Performance Outcomes

The Oxford Handbook of Agent-based Computational Management Science gives a comprehensive overview of agent-based modelling in management science from theoretical and operational perspectives and discusses its future opportunities. In particular, the volume focuses on adaptive behavior and dynamics in and across organizations, non-linearities caused by management practices, and bridging micro-and macro-levels in organizational analysis. The Handbook addresses.

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