We consider, theoretically and experimentally, several alternative mechanisms to allocate assets when the future value of an asset is unknown at the time of allocation because of strategic uncertainty. We compare the performance of auctions (bidding with money) for the right to play the minimum effort coordination game with a competitive allocation process where participants bid with game actio...

When people furnish their goal intentions ("I intend to attain the goal x!") with implementation intentions ("I will initiate the goal-directed response y when situation z arises!"), the initiation of goal-directed responses becomes automatized. As this type of automaticity stems from a single act of will, it is referred to as strategic automaticity. We report various studies demonstrating that...

The TAC 2003 supply-chain game presented automated trading agents with a challenging strategic problem. Embedded within a high-dimensional stochastic environment was a pivotal strategic decision about initial procurement of components. Early evidence suggested that the entrant field was headed toward a selfdestructive, mutually unprofitable equilibrium. Our agent, Deep Maize, introduced a preem...

Can specific behaviour strategies be induced from low-level observations of two adversary groups of agents with limited domain knowledge? This paper presents a domain-independent Multi-Agent Strategy Discovering Algorithm (MASDA), which discovers strategic behaviour patterns of a group of agents under the described conditions. The algorithm represents the observed multi-agent activity as a grap...

Efficiency and effectiveness are not sufficient in the global era. Explicability and ethics – not only doing the things right but also doing the right things – are emerging as major components of corporate success. Key aspects of competitiveness have moved from data and information to knowledge and wisdom. Strategy and strategic action have upstaged efficient performance and flawless execution....

In order for Artificial Intelligence (AI) to become truly useful in high−level military applications it is necessary to identify, document, and integrate into automated systems the human knowledge that senior military professionals use to solve high−level problems. The skeletal structure for this work is provided through the development of an ontology. This paper presents brief overviews first ...

The highly competitive and increasingly transparent characteristics of the digital environment have led inter-firm rivalry more frequently. Competitive actions and competitor’s responses together determine firms’ value creation. The key to obtain competitive advantages is to stop or delay competitor’s response. Therefore, our research question is which type of actions is the most effective in d...

We study, theoretically and experimentally, alternative mechanisms to allocate assets when the future value of the asset is unknown at the time of allocation because of strategic uncertainty. We compare auctions, or bidding with money, for the right to play the minimum effort coordination game, with bidding with action (effort) proposals, where bidders with the highest proposed actions are sele...

This paper examines the need for explicit representations of the design space, in response to Woodbury and Burrow. Specifically, their proposal for a particular search strategy, by means of which one can reuse past experiences explicitly represented by previously traversed paths, is examined. This is done by exploring issues with respect to design search and representation in general, while rel...

This paper reports on the use of both qualitative modelling (i.e. Journey Making) and quantitative system dynamics simulation modelling for a strategy making process in a UK police force. The main focus of the work is on the tension between the supply of resources (i.e. police officers) and the demands placed on those officers. The strategic conversation that took place was facilitated by 2 mod...