横幹連合コンファレンス予稿集
最新号
選択された号の論文の92件中1~50を表示しています
プログラム
A-1 情報技術とWell-being
A-2 一般講演1
A-3 社会シミュレーション
A-4 一般講演2
  • 山岸 富士雄, 森 泰親
    セッションID: A-4
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    This study pays attention to the battery exchange type electric bike as environmental protection vehicle and makes it widely available as new transportation in urban areas. When driving on this bike, if the battery runs out, user replaces the battery and continues driving. Unlike conventional vehicle, this bike doesn`t take a charge times. This is what we work for realization of Smart Cities. The characteristic problems of this bike are shortness of cruising distance and early battery deterioration. The battery of this bike is small, because this battery was designed for easy replacement by anyone. So, the purpose of study is solving these problems for realization and makes it widely available. This study constructs vehicle speed pattern which suppresses battery deterioration and the slowdown and reduces the battery exchange number of the times. And, we suggest the systems deciding exchange timing, the vehicle speed pattern and the electricity power output to the destination.
  • 角 有司, 青山 和浩
    セッションID: A-4
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    The authors are developing a design support system to create a new mission in the space field. The system is a design support tool used in conjunction with the CAE tool used in product design. In addition, it handles the input parameters of the CAE tool by dividing it into two pieces of information.
    For the promotion of domestic industry, we are promoting the application of the system to industries other than space industry. For application to various industries, we thought that it would be better to divide the CAE tool information based on duality. In this report, we show examples of information definition based on duality and examples of application to design, and show possibility of interchange of different industries.
A-5 経営高度化へのマトリクス・アプローチと意思決定プロセス化の研究
B-1 ミクロとマクロをつなぐ社会的知能・合理性
  • 守 真太郎, 久門 正人, 高橋 泰城
    セッションID: B-1
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    Collective intelligence is a mechanism to aggregate information held by many agents and generate useful information. In order for the generated information to be useful, it is a sufficient condition that the agents should independently generate information to be aggregated. On the other hand, in the case of humans, as they give priority to the return of each individual, not to the accuracy of the collective intelligence, they often use social learning and imitate the choices and actions of others. Independence of information to be aggregated is not preserved and the collective intelligence mechanism does not function. We conducted an information cascade experiment using two-choice general knowledge quizzes. When quizzes are easy, collective intelligence functions and the correct answer rate improves. However, when the quizzes are difficult, it becomes random whether the correct answer rate improves or deteriorates This change is a phase transition due to a change in the number of stable states of nonlinear Polya urn process. The essence of the phase transition is whether the in uence of the rst subject's choice (Domino effect) percolates or not in the in nitely long subjects' sequence.
  • 中山 一昭, 守 真太郎
    セッションID: B-1
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    We study a model for social-learning agents in a restless multiarmed bandit (rMAB). The rMAB has one good arm that changes to a bad one with a certain probability. Each agent seeks the good arm by random search with probability 1-r, or copying information from other agents (social learning) with probability r. Each agent’s fitness is the probability to know the good arm. In this model, we explicitly construct the unique Nash equilibrium state and show that the corresponding strategy for each agent is an evolutionarily stable strategy (ESS) in the sense of Thomas. The ESS Nash equilibrium is a solution to Rogers ’paradox. We also consider the space of mixed strategies and introduce a natural dynamics aiming at increasing each agent’s fitness. It is shown that the dynamics converges to the ESS Nash equilibrium.
  • 中嶋 浩平
    セッションID: B-1
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    Reservoir computing (RC) was first proposed as a framework to train recurrent neural networks. In this framework, a low-dimensional input is projected to high-dimensional dynamical systems, which are typi-cally referred to as a reservoir. If the dynamics of the reservoir involve adequate nonlinearity and memory, em-ulating nonlinear dynamical systems only requires adding a linear, static readout from the high-dimensional state space of the reservoir. Because of its generic nature, RC is not limited to digital simulations of neural net-works, and any high-dimensional dynamical system can serve as a reservoir if it has the appropriate properties. The approach using a physical entity rather than abstract computational units as a reservoir is called physical reservoir computing (PRC). In this presentation, several novel platforms based on PRC are introduced using physical substrates. These platforms include soft materials (e.g., silicone-based soft robotic arm) and faraday waves generated on the water surface (which we call, “physical liquid state machines”), and they illustrate the potentials of the framework through a number of experiments. The focus will particularly be on how dynamical system aspects can provide a novel view of the PRC framework, including the relevance of noise-induced phe-nomena or random dynamical systems.
  • 高橋 泰城
    セッションID: B-1
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    Recently, neuroeconomics---a unified discipline of economics and neuroscience---has been developed. Research topics of neuroeconomics include neural processing underlying decision under risk, intertemporal choice, and social preferences. Studies in neuroeconomics have revealed that human judgment and decision making usually violates classical rationality (e.g., Kolmogorovian probability theory, exponential time-discounting, von Neumann-Morgenstern’s expected utility theory). We observed that rationality and intelligence defined in terms of neuroeconomics is related to human intelligence and rationality in terms of cognitive science. These findings are relevant to problems in financial markets, artificial intelligence, and robotics.
B-2 地域社会でのICT手法の定着へ向けたオープンイノベーション-滋賀県での取り組みを基にして-
B-3 エネルギー需給システムにおける経済モデルと物理モデル
  • 滑川 徹
    セッションID: B-3
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    This paper deals with distributed and optimal real-time pricing problem in electricity market and power grids. After consumers, generators, and ISO are defined, a distributed and optimal pricing problem is formulated.
  • 澤田 英司
    セッションID: B-3
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    This paper proposes an ecnomic modeling for human moral and human decision making in the context of electricity saving by the pro-environmental motivation. Former studies on the moral modeling have alreay proposed a variety of ways to express the moral motivation starting from the discussion of “warm glow”. Recently, another way of modeling “kantian model” is widely accepted. And now it is well known that providing incentives sometimes negatively impact on the human decision making, that is, providing incentives to the environmental friendly behavior could result in the reducion of the pro-environmental behavior. We call such effect “crowding-out”. In the manuscript, we firstly explain the household electricity consumption decision model. And next, we introduce the two major energy policies, critical-peak pricing and negawatt trading. After that, we formulate the human moral by applying the kantian way of modeling to the energy consumption decision making. When considering the human moral, we show that the crowding-out surely reduce the amount of electricity saving. And furthermore, we show that the magnitude of crowding-out differes under the different energy policies. We therefore conclude that the policy choice is closely related to the human moral and the magnitude of the crowding-out could change the order of effectiveness of different policies.
  • 花田 研太, 和田 孝之, 増淵 泉, 浅井 徹, 藤崎 泰正
    セッションID: B-3
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    A distributed road balancing problem via a consensus algorithm over a noisy network is investi- gated. The topology of the network which de nes the availability of communication among agents is assumed to be represented as a directed and strongly connected graph. The convergence analysis of the algorithm reveals an explicit relation between the number of iterations and the closeness of the agreement, which gives a stopping rule for the consensus algorithm. The result is illustrated through a numerical example.
  • 田中 健太
    セッションID: B-3
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    In recent year, energy saving becomes more important implementation to overcome climate change and energy problem in Japan. One of the key ways to encourage people to do energy saving behavior is the implementation based on the people’s psychological factors. In fact, researchers in an experimental and behavioral economics field try to reveal the effect of such factors how much affect the energy saving be-havior. Based on these back ground, this study review previous studies that try to reveal the relationship between the energy saving behavior. Finally, this study concludes the future role of a demand side con-trol using by the finding of experimental and behavioral economics field.
  • 里内 亮, 河野 佑, 大塚 敏之
    セッションID: B-3
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    We discuss a real-time pricing method for an electric power system based on model predictive control (MPC) by the real-time optimization and estimation of a consumer's parameter using a particle lter. Consumer characteristics are modeled by a sigmoidal demand function that represents saturation effects and the price elasticity of demand, and the price elasticity is estimated on line by a particle lter. Then, the electricity price is determined by MPC to suppress the frequency deviation in the entire power system and the deviation of power consumption in heat pump water heaters. We conducted numerical simulations to compare the performance of our proposed method with that of the direct control scheme used in the previous research. We demonstrate that a supply-demand balance is achieved by price presentation in spite of a large uctuation in wind power and the uncertainty in a consumer's parameter.
B-4 異分野をつなげる動的システム論
B-5 イノベーションデザイン
C-1 情報科学における技術的特異点と限界突破
C-2 構造物に依存しないソフト防災の現状と課題と可能性
C-3 ImPACT TRC太索状ロボット研究開発の現状と将来展開1
C-4 ImPACT TRC太索状ロボット研究開発の現状と将来展開2
C-5 望まれる持続可能な社会の実現に向けて
D-1 人間共生型社会を実現する記号学と人工知能
  • 谷口 忠大
    セッションID: D-1
    発行日: 2017年
    公開日: 2018/02/18
    会議録・要旨集 オープンアクセス
    We still have huge challenges in artificial intelligence and robotics when we attempt to introduce autonomous robots into our daily environment, e.g., home and offices. Machine learning methods, especially deep learning, have already achieved huge success in many pattern recognition tasks that are carefully prepared and in which each system are expected to learn a global rule. However, each robot has to adapt to each local environment not only physically but also semantically via interaction with people living there. We need to invent more adaptive intelligence based on unsupervised learning. In this talk, I introduce the R-GIRO project called “International and Interdisciplinary Research Center for the Next-generation Artificial Intelligence and Semiotics” funded by Ritsumeikan University, and talk about future challenges in this field.
feedback
Top