Behavioral Theory of Repeated Prisoner’s Dilemma: Generous Tit-For-Tat Strategy

This study investigates infinitely repeated games of a prisoner’s dilemma with additive separability in which the monitoring technology is imperfect and private. Behavioral incentives indicate that a player is not only motivated by pure self-interest but also by social preference such as reciprocity, and that a player often becomes naïve and selects an action randomly due to her cognitive limitation and uncertain psychological mood as well as the strategic complexity caused by monitoring imperfection and private observation. By focusing on generous tit-for-tat strategies, we characterize a behavioral version of Nash equilibrium termed behavioral equilibrium in an accuracy-contingent manner. By eliminating the gap between theory and evidence, we show that not pure self-interest but reciprocity plays a substantial role in motivating a player to make decisions in a sophisticated manner.

Escalation of Memory Length in Finite Populations

The escalation of complexity is a commonly cited benefit of coevolutionary systems, but computational simulations generally fail to demonstrate this capacity to a satisfactory degree. We draw on a macroevolutionary theory of escalation to develop a set of criteria for coevolutionary systems to exhibit escalation of strategic complexity. By expanding on a previously developed model of the evolution of memory length for cooperative strategies by Kristian Lindgren, we resolve previously observed limitations on the escalation of memory length by extending operators of evolutionary variation. We present long-term coevolutionary simulations showing that larger population sizes tend to support greater escalation of complexity than smaller ones do. Additionally, we investigate the sensitivity of escalation during transitions of complexity. The Lindgren model has often been used to argue that the escalation of competitive coevolution has intrinsic limitations. Our simulations show that coevolutionary arms races can continue to escalate in computational simulations given sufficient population sizes.

Strategic Complexity of Impactful Innovation in Automotive Component Manufacturing in an Emerging Economy

This research was directed at the impact of innovation strategy complexity on the breadth of innovation strategy objectives achievement. The context is automotive component manufacturing in developing economies. Given the risk associated with innovation activity, the question is whether firms can improve their success by adopting a complex market access strategy. The methodology was survey based, utilizing data on the innovation activities of some 530 automotive component manufacturing firms obtained by a questionnaire applied in the Pune region in India, Beijing region in China and in South Africa. Path analysis by structural equation modeling was applied to analyze the data for the hypothesized relationships. It was found that strategic complexity in the larger combined country data set is positively and significantly related to a greater breadth of impact of innovation in terms of the market access strategies implemented. It was also observed that diversity of technology and knowledge sources, and innovation types, play a fundamental role in this relationship. The results for individual countries are different from those of all countries combined and yielded varying conclusions. The SA data set was unfortunately too small to meet the requirements for reliable results on its own, but served to support understanding of the influence of its different environment. The findings support the proposition that a diverse innovation strategy should be developed and executed in a business strategy directed at innovation.

Public libraries, museums and physical convergence: Context, issues, opportunities: A literature review Part 2

There has recently been a growth in physical convergence in cultural heritage domains. The second of a two-part article that considers this trend with particular regard to public libraries and museums provides an overview of factors to be considered by those planning or developing physically converged services. This has been achieved through thematic analysis of a review of international literature from both domains. It begins with consideration of obstacles to convergence, ethical challenges, organisational and strategic complexity, organisational culture and resistance. It moves on to discuss factors, general and physical, that can lead to success in convergence: vision, strategy and planning, communication and trust, for example, and, how these can be led and managed. It also considers the role of professional education and training, the benefits of convergence, for example improved cultural offer and visibility, financial savings, with viewpoints from around the world. Part 2 ends with a critical note on the ‘convergence narrative’, and a conclusion that focuses on physical convergence which draws on both Parts.

Escalation of Memory Length in Finite Populations

The escalation of complexity is a commonly cited benefit of coevolutionary systems, but computational simulations generally fail to demonstrate this capacity to a satisfactory degree. We draw on a macroevolutionary theory of escalation to develop a set of criteria for coevolutionary systems to exhibit escalation of strategic complexity. By expanding on a previously developed model of the evolution of memory length for cooperative strategies by Kristian Lindgren, we resolve previously observed limitations to the escalation of memory length. We present long-term coevolutionary simulations showing that larger population sizes tend to support greater escalation of complexity than smaller population sizes. Additionally, escalation is sensitive to perturbation during transitions of complexity. In whole, a long-standing counter-argument to the ubiquitous nature of coevolution is resolved, suggesting that the escalation of coevolutionary arms races can be harnessed by computational simulations.