Not Refereed, Proc. of JAWS2023, Logical Model of Autonomous Agents based on Non-classical Logic, NIDE, Naoyuki, Sep. 2023, Symposium

Refereed, Logic Journal of the IGPL, Oxford University Press, Sequent calculus for 3-valued paraconsistent logic QMPT0, Naoyuki Nide; Yuki Goto; Megumi Fujita, Aug. 2019, 27, 5, 507, 521

Refereed, Journal of Systems Science and Systems Engineering, Springer Verlag, Implementation of 3-Valued Paraconsistent Logic Programming Towards Decision Making System of Agents, Yuki Goto; Megumi Fujita; Naoyuki Nide, Due to the rapid development of applications of artificial intelligence and robotics in recent years, the necessity of reasoning and decision making with uncertain and inaccurate information is increasing. Since robots in the real world are always exposed to behavioral inaccuracies and uncertainty arising from recognition methods, they may occasionally encounter contradictory facts during reasoning on action decision. Paraconsistent logic programming is promising to make appropriate action decisions even when an agent is exposed to such uncertain information or contradictory facts, but there has been no implementation of this programming to the best of our knowledge. We propose a resolution algorithm for the 3-valued paraconsistent logic programming system QMPT0 and its implementation on SWI-Prolog. We also describe an application of the 3-valued paraconsistent logic programming regarding agent decision making., 12 May 2018, 27, 3, 1, 18, Scientific journal, 10.1007/s11518-018-5367-7

Refereed, Information Engineering Express, IIAI Publications, Toward a robot that acquires logical recognition of space, Megumi Fujita; Yuki Goto; Naoyuki Nide; Ken Satoh; Hiroshi Hosobe, Dec. 2017, 3, 4, 1, 10

Refereed, IEICE Transactions on Information and Systems, Institute of Electronics, Information and Communication, Engineers, IEICE, Tracing werewolf game by using extended BDI model, Naoyuki Nide; Shiro Takata, The Werewolf game is a kind of role-playing game in which players have to guess other players’ roles from their speech acts (what they say). In this game, players have to estimate other players’ beliefs and intentions, and try to modify others’ intentions. The BDI model is a suitable one for this game, because it explicitly has notions of mental states, i.e. beliefs, desires and intentions. On the other hand, in this game, players’ beliefs are not completely known. Consequently, in many cases it is difficult for players to choose a unique strategy
in other words, players frequently have to maintain probabilistic intentions. However, the conventional BDI model does not have the notion of probabilistic mental states. In this paper, we propose an extension of BDI logic that can handle probabilistic mental states and use it to model some situations in the Werewolf game. We also show examples of deductions concerning those situations. We expect that this study will serve as a basis for developing a Werewolf game agent based on BDI logic in the future., 01 Dec. 2017, E100D, 12, 2888, 2896, International conference proceedings, 10.1587/transinf.2016AGP0004

Not Refereed, Oct. 2017

Not Refereed, Proc. of 34th JSSST annual conference, A Logical Model of Emotional Expressions and Time Course based on OCC theory, Nao Imai; Sara Asai; Mai Tsukamoto; Naoyuki Nide, Sep. 2017

Not Refereed, Proc. of 34th JSSST Annual Conference, Acquisition of object recognition ability of autonomous robot, Akemi Kanematsu; Fumiko Komatsu; Naoyuki Nide, Sep. 2017

Refereed, Proceedings - 2016 International Conference on Agents, ICA 2016, Institute of Electrical and Electronics Engineers Inc., Tracing Werewolf game by using extended BDI model, Naoyuki Nide; Shiro Takata, The werewolf game is a kind of role-playing game in which players have to guess other players' roles from their speech acts (what they say). In this game, players have to estimate other players' beliefs and intentions, and try to modify others' intentions. The BDI model is a suitable model for this game, because it explicitly has notions of mental states, i.e. beliefs, desires and intentions. On the other hand, in this game, players' beliefs are not completely known. Consequently, in many cases it is difficult for players to choose a unique strategy
in other words, players frequently have to maintain probabilistic intentions. However, the conventional BDI model does not have the notion of probabilistic mental states. In this paper, we propose an extension of BDI logic that can handle probabilistic mental states and use it to model some situations in the Werewolf game. We also show examples of deductions concerning that situations. We believe that this study will serve as a basis for developing a Werewolf game agent based on BDI logic., 10 Jan. 2017, 7, 12, International conference proceedings, 10.1109/ICA.2016.28

Refereed, Proceedings - 2016 International Conference on Agents, ICA 2016, Institute of Electrical and Electronics Engineers Inc., Autonomous control of mobile robots using logical representation of map and inference of location, Megumi Fujita; Yuki Goto; Naoyuki Nide; Ken Satoh; Hiroshi Hosobe, We propose an action-decision method for autonomous mobile robots, in which a robot constructs a logical representation of a map of its surrounding environment from its perception and uses that map to determine a plan to logically reach its destination. We conducted an experiment in which a robot had a sub-goal to reach halfway to its destination and attempt to recognize that it has reached that sub-goal in order to proceed to the next goal. We first explain our experimental results then provide a discussion on these results and future work., 10 Jan. 2017, 78, 81, International conference proceedings, 10.1109/ICA.2016.38

Not Refereed, Proc. of 33rd JSSST annual conference, Developing BDI agent for controlling autonomous small robot with ability to reach target object, Shiori Tarui; Akemi Kanematsu; Naoyuki Nide, Sep. 2016, 33, 489, 493

Not Refereed, Proc. of 30th JSAI annual conference, Reliability Improvement of Basic Actions of Real World Robots, Shiro Takata; Naoyuki Nide, Jun. 2016

Not Refereed, Proc. of 30th JSAI annual conference, Stochastic strategy of agents with uncertain beliefs and BDI model, Naoyuki Nide; Shiro Takata, Jun. 2016

Refereed, Proc. of JAWS2015, Certification of ability to accomplish goals using atomic actions involving noises by formal method, Naoyuki Nide; Yuki Goto; Megumi Fujita; Shiro Takata, Oct. 2015, 150, 156

Refereed, IEICE Transactions on Information and Systems (Japanese Edition), A Logic for Rational Agents Which Handles Beliefs and State Transitions Probabilistically, Naoyuki Nide; Shiro Takata, Jun. 2015, J98-D, 6, 936, 947

Not Refereed, Proc. of 29th JSAI annual conference, Implementing simulation environment for BDI agents in continuous virtual world, Mika Kamemura; Naoyuki Nide; Shizuka Yunoki; Rena Miyata; Shiro Takata, May 2015, 29, 1, 3

Not Refereed, Proc. of 29th JSAI annual conference, Commitment Strategies for Basic Actions in Real World, Shiro Takata; Naoyuki Nide, May 2015, 29, 1, 4

Refereed, Proc. of 20th Robotics Symposia, Autonomous control of mobile robot using logical representation of map and inference about location, Megumi Fujita; Yuki Goto; Naoyuki Nide; Ken Satoh; Hiroshi Hosobe, Mar. 2015, 37, 42

Refereed, Proc. of JAWS2014, A Logic for Rational Agents Which Handles Beliefs and State Transitions Probabilistically, Naoyuki Nide; Shiro Takata, Oct. 2014, 95, 98

Refereed, Proc. of JAWS2014, Robust Atomic Actions using Attractor States, Shiro Takata; Naoyuki Nide, Oct. 2014, 47, 50

Refereed, Proc. of JAWS2014, A Logical Model of Emotional Expressions based on OCC Theory, Akiko Ikenouchi; Naoyuki Nide, Oct. 2014, 91, 94

Refereed, Proc. of AAMAS 2014, Logic-based and robust decision making for robots in real world, Megumi Fujita; Yuki Goto; Naoyuki Nide; Ken Satoh; Hiroshi Hosobe, May 2014, 1685, 1686

Not Refereed, Technical Report, IPSJ SIG-ICS, A semantics of Teleo-reactive Program that can handle uncertainty and its application, Yuki Goto; Megumi Fujita; Naoyuki Nide, Jan. 2014, 2014-ICS-173, 2

Refereed, IEICE Transactions on Information and Systems (Japanese Edition), The Institute of Electronics, Information and Communication Engineers, An Attempt to Construct Logical Model of Rational Agents Acting in Continuous State Space, Naoyuki Nide; Shiro Takata; Megumi Fujita, Dec. 2013, J96-D, 12, 2239, 2250

Refereed, Proc. of Knowledge Representation and Reasoning in Robotics (workshop at ICLP 2013), An architecture for autonomously controlling robot with embodiment in real world, Megumi Fujita; Yuki Goto; Naoyuki Nide; Ken Satoh; Hiroshi Hosobe, Aug. 2013, 59, 71

Not Refereed, Proc. of 27th JSAI annual conference, Deduction system with oracle for an agent logic dealing with continuous state space, Naoyuki Nide; Megumi Fujita; Yuki Goto; Shiro Takata, Jun. 2013, 27, 1, 4

Not Refereed, Proc. of 27th JSAI annual conference, Stochastic inference with Connection Graph, Yuki Goto; Naoyuki Nide; Megumi Fujita, Jun. 2013, 27, 1, 4

Not Refereed, Proc. of 27th JSAI annual conference, The minimum plan modification of robot's actions under the dynamical environment, Megumi Fujita; Yuki Goto; Naoyuki Nide; Ken Satoh; Hiroshi Hosobe, Jun. 2013

Not Refereed, Technical Report, IPSJ SIG-MPS, Learning Atomic Actions Using Attractor States in the Real World, Shiro Takata; Naoyuki Nide; Yukihiro Hamasuna; Hitoshi Habe; Megumi Fujita, Feb. 2013, 2013-MPS-92, 24, 1, 6

Refereed, Proc. of JAWS2012, An Attempt to Construct Logical Model of Rational Agents Acting in Continuous State Space, Naoyuki Nide; Shiro Takata; Megumi Fujita, Oct. 2012

Refereed, Proc. of JAWS2012, Intelligent robot that considers attractor state of actions, Shiro Takata; Naoyuki Nide, Oct. 2012

Refereed, IPSJ Transactions on MPS, BDI Robots Who Adapt to the Diversity of the Real World, Megumi Fujita; Hiroko Katayama; Naoyuki Nide; Shiro Takata, Mar. 2012, 5, 1, 50, 64

Refereed, Proc. of 17th International Symposium on Artificial Life and Robotics (AROB 2012), Alife Robotics Co, Ltd., Importing dynamic planner to BDI agent creating flexible decision-making of policies for selecting robot actions in real world, Megumi Fujita; Hiroko Katayama; Yuko Ojima; Naoyuki Nide, Our aim is to create a more intelligent form of control for robots that can act autonomously for problem solving in the dynamic environments. The ability to select and modify the action decision policies to achieve the given goals in the most appropriate way as possible, and the easiest and most efficient way of implementation of such policy controls is required. We propose a flexible method for selecting policies of action decision in this paper, using a dynamic planner as the mechanism for determining the policies for action decision making We proved through experimentation that when a robot cannot achieve its goal using a specific policy, it can modify the given policy to achieve that goal with the use of our method. In particular, for robots in the real world, the error of beliefs due to a false recognition of the sensors may be the reason why a robot cannot achieve its goal, although this situation will not come to light in any simulation. Our method is effective for such situations., Jan. 2012, 955, 958

Refereed, Proc. of JAWS2011, From Reinforcement Learning to Deliberation in the Real World, Shiro Takata; Naoyuki Nide, Oct. 2011

Refereed, Proc. of JAWS2011, Toward Imcorporating Emotional Expressions into the Action Decision of BDI agents, Megumi Fujita; Utako Shimizu; Naoyuki Nide, Oct. 2011

Refereed, Proc. of JAWS2011, Toward a Construction of the Agent Execution System Based on BDI Logic, Hiroko Katayama; Megumi Fujita; Naoyuki Nide, Oct. 2011

Not Refereed, Technical Report, IPSJ SIG-MPS, BDI Robots Who Adapt to the Diversity of the Real World, Megumi Fujita; Hiroko Katayama; Naoyuki Nide; Shiro Takata, Sep. 2011, 2011-MPS-85

Not Refereed, Proc. of 29th RSJ annual conference, Toward robot control using emotional expression for action decision, Megumi Fujita; Utako Shimizu; Naoyuki Nide, Sep. 2011

Refereed, IPSJ Transactions on MPS, Modeling probabilistic state transitions using TOMATO and its application, Naoyuki Nide; Shiro Takata; Megumi Fujita, Jul. 2011, 4, 3, 59, 72

Not Refereed, Technical Report, IPSJ SIG-MPS, The intelligent control of robots in the real world using the autonomous agent model system with the concept of intention, Megumi Fujita; Hiroko Katayama; Yuko Ojima; Mayu Sumida; Yoshi Koyama; Naoyuki Nide; Shiro Takata, May 2011, 2011-MPS-83, 8, 1, 10

Refereed, Transactions of the Japanese Society for Artificial Intelligence, Modeling reinforcement learning using an extended BDI logic TOMATOes, Shiro Takata; Naoyuki Nide; Megumi Fujita, TOMATOes is an extension Of BDI logic, which introduced probabilistic state transitions and fix-point operators. Using TOMATOes, we can strictly describe and infer various properties of rational agents with those extended notions. In this paper, we give a detailed explanation of modeling of reinforcement learning with the Kripke structure used in TOMATOes, called BDI structure, and the description of transaction graph with policy using TOMATOes. In addition, we give some issues on rational agents for practical reasoning with the description of transaction graph using TOMATOes., 2011, 26, 1, 156, 165, Scientific journal, 10.1527/tjsai.26.156

Refereed, Transactions of the Japanese Society for Artificial Intelligence, Modeling cooperative actions using an extended BDI logic TOMATOes, Naoyuki Nide; Shiro Takata; Megumi Fujita, In multi-agent environments, to model cooperations among autonomous agents, many notions such as mutual beliefs and joint intentions, recognition of possibilities to achieve a goal with cooperation, and team formations, should be formally represented. In the traditional BDI logics, it is hard to treat them uniformly. We show the way to treat them uniformly using the fixed-point operator of the extended BDI logic TOMATOes. We also give some examples to apply it to the proof of some behaviors of multi-agent systems., 2011, 26, 1, 13, 24, Scientific journal, 10.1527/tjsai.26.13

Refereed, Proc. of JAWS2010, The Frexible Integration of the Planner which is Adaptable to Dynamic Environments and the BDI Agent Architecture, Megumi Fujita; Naoyuki Nide, Oct. 2010

Refereed, Proc. of JAWS2010, Formalizing Combination of Dynamic Planner and BDI agent, Naoyuki Nide; Megumi Fujita; Shiro Takata, Oct. 2010

Refereed, Proc. of JAWS2010, BDI Agent with Plan Libraries Generated using Rewards, Shiro Takata; Naoyuki Nide, Oct. 2010

Refereed, Proc. of JAWS2010, Versatility of subplans obtained from policies, Naoyuki Nide; Shiro Takata; Hiroko Katayama, Oct. 2010

Not Refereed, Proc. of 24th JSAI annual conference, Modeling various action decision processes of BDI agents, Naoyuki Nide, Jun. 2010

Not Refereed, Proc. of 24th JSAI annual conference, Replanning and Redetermining robot's action based on BDI architecture in the dynamical environment, Megumi Fujita; Hiroko Katayama; Yuko Ojima; Naoyuki Nide, Jun. 2010, 24, 1, 4

Refereed, Journal of Japanese Society for Artificial Intelligence, Logic Model of Autonomous Agents, Naoyuki Nide, May 2010, 25, 3, 419, 428

Not Refereed, Proc. of 51th Programming Symposium, Constraction of Varsatile Proof Figure Drawing Tools, Miki Ogawa; Hiroyasu Kamo; Naoyuki Nide, Jan. 2010, 2010, 73, 78

Refereed, Proc. of JAWS2009, Realization of flexible determination of actions in the real world using BDI-based robot, Megumi Fujita; Yuko Ojima; Hiroko Katayama; Naoyuki Nide, Oct. 2009, 354, 361

Refereed, Proc. of JAWS2009, Modeling Reinforcement Learning using an Extended BDI logic TOMATOes, Shiro Takata; Naoyuki Nide; Megumi Fujita, Oct. 2009, 131, 138

Refereed, Proc. of JAWS2009, Modeling cooperative actions using an extended BDI logic TOMATOes, Naoyuki Nide; Shiro Takata; Megumi Fujita, Oct. 2009, 429, 436

Not Refereed, Proc. of 74th JSAI SIG-FPAI, Modeling probabilistic state transitions using TOMATO, Naoyuki Nide; Shiro Takata; Megumi Fujita, Sep. 2009, 57, 64

Refereed, Proc. of CLIMA '09, BDI logic with probabilistic transition and fixed-point operator, Naoyuki Nide; Shiro Takata; Megumi Fujita, Aug. 2009, 71, 86

Not Refereed, IPSJ SIG Technical Report, Integration of BDI and Reinforcement Learning Using An Extended BDI logic, Shiro Takata; Naoyuki Nide, Mar. 2009, 2009-MPS-73, 57, 60

Refereed, Proc. of JAWS2008, Design and implementation of planning system for BDI agent which can fit into dynamical environment, Megumi Fujita; Naoyuki Nide, Oct. 2008

Not Refereed, Proc. of IPSJ Kansai-branch convention 2008, Basic design and implementation of multiagent system that enables reflective action underdynamic environment, Mariko Noguchi; Naoyuki Nide, Oct. 2008, 225, 228

Refereed, Proc. of JAWS2008, BDI logic with probabilistic transition and fixed operator, Naoyuki Nide, Oct. 2008

Refereed, Proc. of JAWS2008, Basic design and implementation of multiagent system that enables reflective action under dynamic environment, Mariko Noguchi; Naoyuki Nide, Oct. 2008

Not Refereed, Proc. of IPSJ Kansai-branch convention 2008, Design and implementation of planning system for BDI agent which can fit into dynamical environment, Megumi Fujita; Naoyuki Nide, Oct. 2008, 229, 232

Refereed, Proc. of PDPTA 2007, Construction of a Paper Classification System Using SVM, Naomi Ashida, Masami Takata, Akira Sasaki, Hiroyasu Kamo, Naoyuki Nide, Kazuki Joe, 2007, 979, 985

Refereed, Proc. of PDPTA 2007, Auto Classification of Feces for Health Condition Analysis, Miho Komatsubara, Chisato Ishikawa, Masami Takata, Hiroyasu Kamo, Naoyuki Nide, Kazuki Joe, 2007, 759, 765

Refereed, Proc. of PDPTA 2007, 3D Visualization System Gateau for Atmospheric Science, Eriko Touma, Katsuyuki Noguchi, Masami Takata, Hiroyasu Kamo, Naoyuki Nide, Kazuki Joe, 2007, 766, 772

Refereed, The IEICE transactions on information and systems, The Institute of Electronics, Information and Communication Engineers, Formal Verification Method of Realizing a Commitment Strategy in BDI Architecture, Tadashi Araragi; Shiro Takata; Naoyuki Nide, Jun. 2006, J89-D, 6, 1213, 1224

Refereed, Proc. of PDPTA 2006, Design of an Integrated Database System for Short-Term arthquake Prediction, Chisato Ishikawa, Hiroyasu Kamo, Naoyuki Nide, and Kazuki Joe, 2006, 853, 859

Refereed, Proc. of PDPTA 2006, A 3D Visualization System for Intuitive Analysis of Atmospheric Science, Eriko Touma, Kazuko Yamauchi, Hiroyasu Kamo, Naoyuki Nide, Sachiko Hayashida, and Kazuki Joe, 2006, 860, 866

Refereed, Proc. of PDPTA 2006, Design and Implementation of Gateau API for HDF-EOS, Kazuko Yamauchi, Eriko Touma, Hiroyasu Kamo, Naoyuki Nide, Sachiko Hayashida and Kazuki Joe, 2006, 867, 873

Refereed, Proc. of PDPTA 2006, Another RSS Reader with Visualization of Structured Documents and Effective Navigation, Satomi Hara, Hiroyasu Kamo, Naoyuki Nide and Kazuki Joe, 2006, 874, 880

Not Refereed, Proc. of 47th Programming Symposium, make in Prolog, Kotoyu Sasayama; Mariko Noguchi; Naoko Fujimoto; Hiroyasu Kamo; Naoyuki Nide, Jan. 2006, 161, 166

Refereed, Journal of Japanese Society for Artificial Intelligence, Logics for handling intentions, Naoyuki Nide; Shiro Takata, Jul. 2005, 20, 4, 425, 432

Refereed, Journal of Japanese Society for Artificial Intelligence, Agent architecture based on intention, Shiro Takata; Naoyuki Nide, Jul. 2005, 20, 4, 433, 440

Not Refereed, Proc. of 19th JSAI annual conference, Toward realization of BDI architecture that uses a combination of deliberation and reinforcement learning in selecting actions, Naoyuki Nide; Shiro Takata; Hiroshi Yamakawa; Kazuteru Miyazaki; Masayoshi Ohta, Jun. 2005

Refereed, IPSJ Transactions on MPS, Information Processing Society of Japan (IPSJ), A Deduction System of Extended BDI logic to Handle Mutual Belief, Naoyuki Nide; Shiro Takata; Tadashi Araragi, BDI logics are extensions of the predicate variant of CTL^* to represent the behavior of rational agents by introducing mental state operators. We previously presented deduction systems for CTL-based propositional BDI logics using sequent calculus. However, since the original BDI logics have only operators to represent the mental states of individual agents, they cannot handle mutual mental states for multiple agents. In this paper, we extend our deduction systems so that we can handle individual and mutual mental states for multiple agents in multi-agent environments. We also show some examples of proof in our system., Jan. 2005, 46, SIG2(TOM11), 85, 99

Refereed, Proc. of JAWS2004, Correspondence between BDI model and world model in reinforcement learning, Naoyuki Nide; Shiro Takata; Hiroshi Yamakawa; Kazuteru Miyazaki; Masayoshi Ohta, Oct. 2004, 378, 385

Refereed, Proc. of JAWS2004, An achievement method of BDI agent who practically reasons about the skill acquired using reinforcement learning, Shiro Takata; Naoyuki Nide; Hiroshi Yamakawa; Kazuteru Miyazaki; Masayoshi Ohta, Oct. 2004, 517, 524

Refereed, Proc. of JAWS2004, Generation of hierarchical sub-plan with acquired policy by reinforcement learning, Masayoshi Ohta; Hiroshi Yamakawa; Kazuteru Miyazaki; Shiro Takata; Naoyuki Nide, Oct. 2004, 511, 516

Not Refereed, Jun. 2004, 18, 1, 4

Refereed, The IEICE Transactions on Information and Systems (Japanese Edition), The Institute of Electronics, Information and Communication Engineers, Reasoning About Mental State Compatibilities of Rational Agents and Its Applications, Naoyuki Nide; Shiro Takata; Tadashi Araragi, Aug. 2003, J86-D-1, 8, 514, 523

Refereed, Systems and Computers in Japan, Design of Rational Agents for Performing Speech Acts Intentionally in Multi-Agent Environments, Shiro Takata; Yoshime Igarashi; Naoyuki Nide; Mika Enomoto; Kenji Mase; Ryohei Nakatsu, May 2003, 34, 8, 77, 88

Not Refereed, IPSJ SIG Technical Report, A Deduction System of Extended BDI logic to Handle Mutual Belief, Naoyuki Nide; Shiro Takata; Tadashi Araragi, Jan. 2003, 2003-MPS-44, 21, 24

Refereed, Computer Software, Japan Society for Software Science and Technology, Deduction Systems for BDI Logics using Sequent Calculus, Naoyuki Nide; Shiro Takata; Tadashi Araragi, 2003, 20, 1, 66, 83, Scientific journal, 10.11309/jssst.20.66

Refereed, Proc. of JAWS2002, Reasoning about mental state compatibilities of rational agents and its applications, Naoyuki Nide; Shiro Takata; Tadashi Araragi, Nov. 2002, 463, 470

Refereed, Proc. of JAWS2002, A multimodal interface for rational agents, Shiro Takata; Naoyuki Nide; Shinjiro Kawato; Kenji Mase, Nov. 2002, 345, 352

Refereed, Electronic Notes in Theoretical Computer Science, Deduction systems for BDI logics with mental state consistency, Naoyuki Nide; Shiro Takata; Tadashi Araragi, BDI Logics, introduced by Rao et al., have been used as the theoretical basis of specification and implementation of rational agents. The aim of our research is to make full use of the expressive power of BDI Logics as executable specification languages of rational agents. To this end, we previously presented deduction systems for CTL-based propositional BDI Logics using sequent calculus. Since these systems have a decision algorithm that is extended from Wang's algorithm, they are suitable for applications such as automatic proving. However, they do not incorporate mental state consistency features, which are important for dealing with rational agents. In this paper, we extend our deduction systems by introducing mental state consistency features and explain their soundness and completeness. This approach allows us to check and prove the specifications and properties described by BDI Logics for rational agents. © 2002 Published by Elsevier Science B.V., Oct. 2002, 70, 5, 147, 159, International conference proceedings, 10.1016/S1571-0661(04)80593-0

Refereed, Electronic Notes in Theoretical Computer Science, A verification method for a commitment strategy of the BDI architecture, Tadashi Araragi; Shiro Takata; Naoyuki Nide, We present a method to solve a verification problem that arises in implementing a commitment strategy for the BDI architecture. This problem introduces a new aspect of verification such that a state transition depends on a verification done at each state. We formalize this problem and give a decision procedure for the verification. © 2002 Published by Elsevier Science B.V., Oct. 2002, 70, 5, 133, 146, International conference proceedings, 10.1016/S1571-0661(04)80592-9

Not Refereed, Proc. of 19th JSSST annual conference, A Deduction System to Handle Mutual Belief and Cooperation, Naoyuki Nide; Shiro Takata; Tadashi Araragi, Sep. 2002

Refereed, Proc. of CLIMA '02, A Verification Method for a Commitment Strategy of the BDI Architecture, Tadashi Araragi; Shiro Takata; Naoyuki Nide, Aug. 2002, 109, 122

Refereed, Proc. of CLIMA '02, Deduction Systems for BDI Logics with Mental State Consistency, Naoyuki Nide; Shiro Takata; Tadashi Araragi, Aug. 2002, 123, 135

Refereed, Proc. of AAMAS '02, Deduction Systems for BDI Logics Using Sequent Calculus, Naoyuki Nide; Shiro Takata, Jul. 2002, 928, 935

Refereed, Japan Society for Software Science and Technology, Deduction Systems for BDI Logics Using Sequent Calculus, Naoyuki Nide; Shiro Takata; Tadashi Araragi, Nov. 2001, 10, 20

Refereed, The IEICE Transactions on Information and Systems (Japanese Edition), The Institute of Electronics, Information and Communication Engineers, Design of Rational Agents for Performing Speech Acts Intentionally in Multi-Agent Environments, Shiro Takata; Yoshime Igarashi; Naoyuki Nide; Mika Enomoto; Kenji Mase; Ryohei Nakatsu, Aug. 2001, J84-D-I, 8, 1191, 1201

Refereed, Proc. of Interaction 2001 (IPSJ symposium), Design of rational agents who interact and communicate with other agents, Shiro Takata; Naoyuki Nide; Yoshime Igarashi; Kenji Mase, Mar. 2001, 187, 194

Refereed, Proc. of MACC2000, Extended BDI architecture, Shiro Takata; Naoyuki Nide; Yoshime Igarashi; Kenji Mase, Dec. 2000

Not Refereed, IPSJ SIG Technical Report, FIPA + BDI Architecture = Implementation of Rational Agent, Yoshime Igarashi; Shiro Takata; Naoyuki Nide; Kenji Mase, Nov. 2000, 2000-MPS-32, 21, 24

Not Refereed, Design of Rational Agents for Performing Speech Acts Intentionally in Multi-Agent Environments, Shiro Takata; Yoshime Igarashi; Naoyuki Nide; Mika Enomoto; Kenji Mase; Ryohei Nakatsu, Nov. 2000, 125, 132

Not Refereed, Oct. 2000, 2-109, 2-110

Not Refereed, IPSJ SIG Technical Report, Information Processing Society of Japan (IPSJ), BDI Architecture with Dynamic Commitment Strategies, Shiro Takata; Naoyuki Nide; Yoshime Igarashi; Kenji Mase, According to Bratman's theory of intention, intentions play an important role in determining the action of rational agents as they seek to attain their goals, and manage to survive until the time of action. This characteristic of persistent intentions is called commitment. In this paper, we propose an extended BDI-architecture with dynamic choice of the three kinds of commitment strategies which Rao and Georgeff formalized using BDI logic., Sep. 2000, 2000-MPS-31, 85, 45, 48

Not Refereed, Keio Univ. IEI-RM, The User Interface for Multilingual Input in a Windowing Environment Using Automatons, Hideki Tsuiki; Naoyuki Nide; Hiroshi Kuribayashi; Masato Morisaki, 1993, 93-007

Refereed, Advances in Software Science and Technology, Academic Press, Inc. and Iwanami Shoten, Publishers, RACCO: A model logic programming language for Writing Models of Real-Time Process-Control Systems, Takashi Hattori; Reiji Nakajima; Naoyuki Nide; Takashi Sakuragawa; Kazuki Takenaka, 1992, 3, 53, 70

Refereed, Computer Software, Japan Society for Software Science and Technology, Excutable and Formalized Logic Programming Language Based on Time Interval Logic, Naoyuki Nide, 1991, 8, 5, 57, 78

Refereed, Distributed Environments---Software Paradigms and Workstations, Springer Verlag, MOA---A Model of Computer Environment and Its Interface for Supporting Highly Intelligent Human Work, Hiroyuki Tominaga; Naoyuki Nide, 1991, 209, 241

Not Refereed, IPSJ SIG Notes Software Foundation, Toward a Formal Description for User-Interface of Hypertext Systems, Hiroyuki Tominaga; Naoyuki Nide, 1989

Refereed, Advances in Software Science and Technology, Academic Press, Inc. and Iwanami Shoten, Publishers, Overview of GMW+Wnn System, Masami Hagiya; Takashi Hattori; Akitoshi Morishima; Reiji Nakajima; Naoyuki Nide; Ryotaro Okazaki; Takashi Sakuragawa; Takashi Suzuki; Hideki Tsuiki; Taiichi Yuasa, 1989, 1, 133, 156

Not Refereed, 1988, 341, 344

Refereed, Proc. of 2nd IEEE International Conference on Computer Workstations, Overview of GMW+Wnn System, Masami Hagiya; Takashi Hattori; Akitoshi Morishima; Reiji Nakajima; Naoyuki Nide; Ryotaro Okazaki; Takashi Sakuragawa; Takashi Suzuki; Hideki Tsuiki; Taiichi Yuasa, 1988, 170, 177

Refereed, Computer Softwear, Japan Society for Software Science and Technology, RACCO: A Modal-Logic Programming Language for Writing Models of Real-time Process-Control Systems, Takashi Sakuragawa; Kazuki Takenaka; Reiji Nakajima; Naoyuki Nide; Takashi Hattori, 1988, 5, 3, 22, 33

Not Refereed, 1987, 99, 102

Not Refereed, Feb. 2024, Others

Not Refereed, Jan. 2023, Others

Modeling probabilistic state transitions using TOMATO and its application, 09 Dec. 2010, 2010, 23, 1, 9

Aug. 2008, 25, 181, 185

IPSJ SIG Notes, Information Processing Society of Japan (IPSJ), Auto Classification of Feces for Health Condition, KOMATSUBARA Miho; ISHIKAWA Chisato; TAKATA Masami; KAMO Hiroyasu; NIDE Naoyuki; JOE Kazuki, In this paper, we propose a system to classify shape of feces. In the proposed system, a chain code and elliptic Fourier descriptors are applied. To evaluate the system, a recall and a misidentification rates are calculated, and the recall rate is emphasized in this paper. The effectiveness of the proposed system is established. As the result, each recall rate becomes more than 75%., 25 Jun. 2007, 2007, 64, 25, 28

IPSJ SIG Notes, Information Processing Society of Japan (IPSJ), 3D Visualization System Gateau for Atmospheric Science: Design Concept and Practical Evaluation, TOUMA Eriko; NOGUCHI Katsuyuki; TAKATA Masami; KAMO Hiroyasu; NIDE Naoyuki; JOE Kazuki, Atmospheric scientists tend to use a 2D visualization method rather than 3D visualization for data analysis because 3D visualization requires some expert knowledge. We have developed a 3D visualization system Gateau for atmospheric scientists who are not familiar with visualization programming. Gateau accepts various data formulas used in atmospheric science, reconstruct the analysis procedure which atmospheric scientists perform with 3D visualization, and leads to the discovery of target phenomenon. The resultant visualization can be used for presentation. In this paper, we explain a conventional visualization method in atmospheric science field, give the 3D visualization system overview, and describe practical evaluation., 25 Jun. 2007, 2007, 64, 29, 32

IPSJ SIG Notes, Information Processing Society of Japan (IPSJ), Design of an lntegrated Database System for Short-term Earthquake Prediction, ISHIKAWA Chisato; KAMO Hiroyasu; NIDE Naoyuki; JOE Kazuki, It is known that various electromagnetic methods have been investigated for the short-term earthquake prediction. To make integrated investigation of these methods and find some correlations of earthquakes and various phenomenon, an integrated database system for short-term earthquake prediction is needed. In this paper, we present the design of an integrated database system for the ICA (Independent Component Analysis) method and observed TCD (Telluric current data)., 26 Jun. 2006, 2006, 68, 27, 30

IPSJ SIG Notes, Information Processing Society of Japan (IPSJ), Design and lmplementation of Gateau API for HDF-EOS, YAMAUCHI Kazuko; TOUMA Eriko; KAMO Hiroyasu; NIDE Naoyuki; HAYASHIDA Sachiko; JOE Kazuki, Gateau, which we have been developing, is a system that helps atmospheric scientists analyze data by visualizing earth observation data used in atmospheric science research. In this investigation, we have selected HDF-EOS as a data format for Gateau. The HDF-EOS format recently increases among data distributed as earth observation data. We implement an HDF-EOS read function to Gateau. Atmospheric scientists can perform 3D visualization without writing programs using the original API called the HDF-EOS library. In this paper, we describe the implementation of the HDF-EOS read function to Gateau., 26 Jun. 2006, 2006, 68, 35, 38

IPSJ SIG Notes, Information Processing Society of Japan (IPSJ), Gateau: A 3D Visualization System for lntuitive Analysis of Atmospheric Science, TOUMA Eriko; YAMAUCHI Kazuko; KAMO Hiroyasu; NIDE Naoyuki; HAYASHIDA Sachiko; JOE Kazuki, By recent progress in hardware, 3D visualization including VolumeRendering is adopted in various fields. Though CG is used in the atmospheric field, the scientists mainly use 2D visualization. So, we develop a 3D visualization system Gateau for atmospheric science. Gateau is a quick-look tool that enables the atmospheric scientists to observe 30 grid data with only a few instructions without 3D visualization programming knowledge. Without any manual, the users can understand how to use it interactively on the basis of simple interfaces, and accept multiple input formats including HDF-EOS, which is expected to be the standard file format to distribute earth observation satellite data., 26 Jun. 2006, 2006, 68, 31, 34

Implementation of make by Prolog, 10 Jan. 2006, 2006, 161, 166

IEICE transactions on information and systems, The Institute of Electronics, Information and Communication Engineers, Reasoning about Mental State Compatibilities of Rational Agents and Its Applications( Software Agent and Its Applications), NIDE Naoyuki; TAKATA Shiro; ARARAGI Tadashi, 01 Aug. 2003, 86, 8, 1470, 1470

Mar. 2002, 13, 14, 34

Mathematical Logic for Rational Agents, Corona Publishing, Toru Kato; Shiro Takata; Naoyuki Nide, Oct. 2014, 9784339024890

Introduction to Wnn+GMW, Iwanami Shoten, Publishers, Kyoto Artificial Brain Associates, Sep. 1990, 9784000050784

Common Lisp Handbook, Iwanami Shoten, Publishers, Taiichi Yuasa(ed.); Masami Hagiya(ed.); Takashi Suzuki; Hideki Tsuiki; Naoyuki Nide, Jul. 1987, 9784000076906

Naoyuki Nide, 5th Whole Brain Architecture Seminar, BDI --- model, architecture, logic ---, Jul. 2014

Megumi Fujita; Hiroko Katayama; Yuko Ojima; Naoyuki Nide, BDI Robots Who Adapt to the Diversity of the Real World, Sep. 2011

Naoko Fujimoto; Mariko Noguchi; Hiroyasu Kamo; Naoyuki Nide, Implementation of Make in Prolog, Oct. 2006

1991 - 1992

1991 - 1992