Artificial intelligence based applications are emerging in a broad range of expert domains. News about AI based solutions in medicine, industrial production processes, logistics, mobility and digital marketing trigger discussions and a lot of speculation. The market research industry seems hesitant and at the same time eager to embrace this new technology. In this article the author provides a definition of artificial intelligence and its different forms: narrow AI, hybrid AI and strong AI. He concludes his reflection on the question whether it’s feasible to develop AI based marketing insights solutions with the recommendation: it’s time to embrace AI.
Abstract-In this paper we develop a Ms. Pac-Man playing agent based on an influence map model. The proposed model is as simple as possible while capturing the essentials of the game. Our model has three main parameters that have an intuitive relationship to the agent's behavior. Experimental results are presented exploring the model's performance over its parameter space using random and systematic global exploration and a greedy algorithm. The model parameters can be optimized without difficulty despite the noisy fitness function used. The performance of the optimized agents is comparable to the best published results for a Ms. Pac-Man playing agent. Nevertheless, some difficulties were observed in terms of the model and the software system.
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