Initial conditions and path dependence in explorative and exploitative learning: An experimental study

Mittone, Luigi; Morreale, Azzurra; Ritala, Paavo

doi:10.1016/j.technovation.2023.102895

Technovation

2024

DOI: 10.1016/j.technovation.2023.102895

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Initial conditions and path dependence in explorative and exploitative learning: An experimental study

Luigi Mittone,

Azzurra Morreale,

Paavo Ritala

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2024

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Cited by 2 publications

References 70 publications

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Innovative search and imitation heuristics: an agent-based simulation study

Guida,

Mittone,

Morreale

2024

J Econ Interact Coord

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Prominent research in strategic imitation, exploration, exploitation, and organizational learning identifies imitation as a less costly alternative to experimentation. Yet, its role in the exploration–exploitation dilemma remains underexplored in the literature. This study employs an agent-based model to examine how two distinct agent types—those who imitate and those who experiment—interact and influence each other. The model incorporates the concept of “satisficing” derived from the behavioral theory of the firm, along with insights from research on imitative heuristics. The findings reveal that overcrowding affects both agent types negatively. Imitators suffer from diminished performance due to intensified competition, which increases as more imitators join the system. Meanwhile, explorers are hindered in their attempts at radical innovation due to the presence of other explorers and clusters of imitators. This paper contributes to the field as the first to model individual agents as ‘satisficers’ within a competitive exploration–exploitation framework. By incorporating imitation, it provides novel insights into the dynamics of organizational learning and strategic decision-making.

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Innovative search and imitation heuristics: an agent-based simulation study

Guida,

Mittone,

Morreale

2024

J Econ Interact Coord

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The effect of multi-tasks mechanism on cooperation in evolutionary game

Fan,

Du,

et al. 2024

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Human games are inherently diverse, involving more than mere identity interactions. The diversity of game tasks offers a more authentic explanation in the exploration of social dilemmas. Human behavior is also influenced by conformity, and prosociality is a crucial factor in addressing social dilemmas. This study proposes a generalized prisoner’s dilemma model of task diversity that incorporates a conformity-driven interaction. Simulation findings indicate that the diversity of multi-tasks and the path dependence contribute to the flourishing of cooperation in games. Conformity-driven interactions also promote cooperation. However, this promotion effect does not increase linearly, and only appropriate task sizes and suitable proportions of conformity-driven interactions yield optimal results. From a broader group perspective, the interplay of network adaptation, task size, and conformity-driven interaction can form a structure of attractors or repellents.

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Initial conditions and path dependence in explorative and exploitative learning: An experimental study

Cited by 2 publications

References 70 publications

Innovative search and imitation heuristics: an agent-based simulation study

Innovative search and imitation heuristics: an agent-based simulation study

The effect of multi-tasks mechanism on cooperation in evolutionary game

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