Complexity Theory, Adaptation, and Administrative Law

Recently, commentators have applied insights from complexity theory to legal analysis generally and to administrative law in particular. This Article focuses on one of the central problems that complexity. theory addresses, the importance and mechanisms of adaptation within complex systems. In Part I, the Article uses three features of complex adaptive systems-emergence from self-assembly, nonlinearity, and sensitivity to initial conditions-and explores the extent to which they may add value as a matter of positive analysis to the understanding of change within legal systems. In Part H, the Article focuses on three normative claims in public law scholarship that depend explicitly or implicitly on notions of adaptation: that states offer advantages over the federal government because experimentation can make them more adaptive, that federal agencies should themselves become more experimentalist using the tool of adaptive management, and that administrative agencies shou Id adopt collaborative mechanisms in policymaking. Using two analytic tools found in the complexity literature, the genetic algorithm and evolutionary game theory, the Article tests the extent to which these three normative claims are borne out

Exploration and exploitation strategies. What kind of analytical models ?

This paper gives some insights related to the combination of exploration and exploitation behaviors. A recurrent question for firms deals with this blend of exploration and exploitation mechanisms. Firms are engaged in new activities like research and at the same time in more routine ones like development and production. Thus, they should find a satisfying arrangement between exploitation. But in order to do that, they should better understand their working. This paper analyzes adaptive systems through exploration and exploitation behaviors of firms. In order to better understand the temporal articulation of those behaviors, we refer to a mapping representation of search processes using NK models (Kauffman, 1993).Evolutionary approaches of firms, exploration and exploitation behaviors, NK models.

Corporate strategy revisited: A view from complexity theory

Despite its long tradition and well known contributions, corporate strategy research is yet far from being mature. This paper proposes an innovative framework that approaches the field from the theoretical perspective provided by complexity theory. We propose to see the corporate level of the organization as the driver, pacer and framer of the overall firm's evolution process. Drive is provided by the cognitive representation of the corporate fitness landscape that is implicit in the firm's corporate plan. Pacing is a consequence of the kind of strategic initiatives ("search strategy") developed by the company. Framing is achieved through the architectural design that the corporate level implements for the firm.corporate strategy; complexity theory; self-organizing;

"We are always after that balance":managing innovation in the new digital media industry

The pressure to innovate is growing as technology cycles change more rapidly. Organisations need to balance exploration and exploitation effectively if they are to heed the innovation imperative. Organisational ambidexterity is proposed as a means to achieve such balance with structural or contextual ambidexterity as possible choices. Yet how organisations become ambidextrous is an as yet underresearched area, and different industry sectors may pose different innovation challenges. Using the case study method, this paper examines how a computer games company responds to an industry-specific innovation challenge and how it endeavours to balance exploration and exploitation. The findings suggest that ambidexterity is difficult to achieve, and is fraught with organisational tensions which might eventually jeopardise the innovation potential of a company. The paper suggests that more qualitative research is needed to further our understanding of innovation challenges, innovation management and organisational ambidexterity

A Theoretical Analysis of Cooperative Behavior in Multi-Agent Q-learning

A number of experimental studies have investigated whether cooperative behavior may emerge in multi-agent Q-learning. In some studies cooperative behavior did emerge, in others it did not. This report provides a theoretical analysis of this issue. The analysis focuses on multi-agent Q-learning in iterated prisoner’s dilemmas. It is shown that under certain assumptions cooperative behavior may emerge when multi-agent Q-learning is applied in an iterated prisoner’s dilemma. An important consequence of the analysis is that multi-agent Q-learning may result in non-Nash behavior. It is found experimentally that the theoretical results derived in this report are quite robust to violations of the underlying assumptions.Cooperation;Multi-Agent Q-Learning;Multi-Agent Reinforcement Learning;Nash Equilibrium;Prisoner’s Dilemma