• Journal of Internet Computing and Services
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• v.9 no.6
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• pp.165-177
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• 2008

An important issue in Multiagent reinforcement learning is how an agent should learn its optimal policy in a dynamic environment where there exist other agents able to influence its own performance. Most previous works for Multiagent reinforcement learning tend to apply single-agent reinforcement learning techniques without any extensions or require some unrealistic assumptions even though they use explicit models of other agents. In this paper, a Naive Bayesian based policy model of the opponent agent is introduced and then the Multiagent reinforcement learning method using this model is explained. Unlike previous works, the proposed Multiagent reinforcement learning method utilizes the Naive Bayesian based policy model, not the Q function model of the opponent agent. Moreover, this learning method can improve learning efficiency by using a simpler one than other richer but time-consuming policy models such as Finite State Machines(FSM) and Markov chains. In this paper, the Cat and Mouse game is introduced as an adversarial Multiagent environment. And then effectiveness of the proposed Naive Bayesian based policy model is analyzed through experiments using this game as test-bed.

• Journal of KIISE:Software and Applications
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• v.35 no.3
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• pp.179-188
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• 2008

An important issue in multiagent reinforcement learning is how an agent should team its optimal policy through trial-and-error interactions in a dynamic environment where there exist other agents able to influence its own performance. Most previous works for multiagent reinforcement teaming tend to apply single-agent reinforcement learning techniques without any extensions or are based upon some unrealistic assumptions even though they build and use explicit models of other agents. In this paper, basic concepts that constitute the common foundation of multiagent reinforcement learning techniques are first formulated, and then, based on these concepts, previous works are compared in terms of characteristics and limitations. After that, a policy model of the opponent agent and a new multiagent reinforcement learning method using this model are introduced. Unlike previous works, the proposed multiagent reinforcement learning method utilize a policy model instead of the Q function model of the opponent agent. Moreover, this learning method can improve learning efficiency by using a simpler one than other richer but time-consuming policy models such as Finite State Machines(FSM) and Markov chains. In this paper. the Cat and Mouse game is introduced as an adversarial multiagent environment. And effectiveness of the proposed multiagent reinforcement learning method is analyzed through experiments using this game as testbed.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.277-296
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• 2023

The South Korean ethnic diaspora US lobby shows efficacy as an interest group in generating influence in American foreign and domestic public policy making. The persuasive portrayal of South Korea as a critical Cold War US ally reinforced US amenability to pro-South Korea lobbying. Also, the South Korean US diaspora is a comparatively recent immigrant group, thus its lingering resistance to assimilation facilitates its political mobilization to lobby the US government. One source of this influence includes the foundational legacy of proselytizing Western and particularly American religious social movement representatives in Korean religiosity and society. US protestant Christianity acquired a strong public association with emerging Korean nationalism in response to Japanese imperialism and occupation. Hostility towards Japanese colonialism followed by the threat from Soviet-sponsored, North Korean Communism meant Christianity did not readily become a cultural symbol of excessive external, US interference in South Korean society by South Korean public opinion. The post-Cold War shift in US foreign policy towards targeting so-called rogue state vestiges of the Cold War including North Korea enhanced further South Korea's influence in Washington. Due to essential differences in the perceived historical role of American influence, extrapolation of the South Korean development model is problematic. US hegemony in South Korea indicates that perceived alliance with national self-determination constitutes the core of soft power appeal. Civilizational appeal per se in the form of religious beliefs are not critically significant in promoting American polity influence in target polities in South Korea or, comparatively, in the Middle East. The United States is a perceived opponent of pan-Arab nationalism which has trended towards populist Islamic religious symbolism with the failure of secular nationalism. The pronounced component of evangelical Christianity in American core community nationalism which the Trump campaign exploited is a reflection of this orientation in the US.