Gotowe bibliografie tematyczne / Belief-desire-intention

Gotowa bibliografia na temat „Belief-desire-intention”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 20 lutego 2023

Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych

Wybierz rodzaj źródła:

Spis treści

Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „Belief-desire-intention”.

Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.

Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.

Artykuły w czasopismach na temat "Belief-desire-intention"

1

Mele, Alfred R. "Against a belief/desire analysis of intention". Philosophia 18, nr 2-3 (lipiec 1988): 239–42. http://dx.doi.org/10.1007/bf02380079.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Wadsley, Theo, i Malcolm Ryan. "A Belief-Desire-Intention Model for Narrative Generation". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 9, nr 4 (30.06.2021): 105–8. http://dx.doi.org/10.1609/aiide.v9i4.12627.

Pełny tekst źródła
Streszczenie:
Narrative AI needs to model more than just action. In this paper, we investigate the Belief-Desire-Intention (BDI) agent architecture to allow plots to be modelled in terms of character motivation. This allows authors to focus on elements of the character model which are highly relevant to plot. We describe an extended implementation of the ConGolog agent programming language which includes BDI syntax and semantics. Using this language, we provide an example of how plot could be advantageously modelled in terms of character motivation.
Style APA, Harvard, Vancouver, ISO itp.
3

Saadi, Adel, Ramdane Maamri i Zaidi Sahnoun. "Behavioral flexibility in Belief-Desire- Intention (BDI) architectures". Multiagent and Grid Systems 16, nr 4 (31.12.2020): 343–77. http://dx.doi.org/10.3233/mgs-200335.

Pełny tekst źródła
Streszczenie:
The Belief-Desire-Intention (BDI) model is a popular approach to design flexible agents. The key ingredient of BDI model, that contributed to concretize behavioral flexibility, is the inclusion of the practical reasoning. On the other hand, researchers signaled some missing flexibility’s ingredient, in BDI model, essentially the lack of learning. Therefore, an extensive research was conducted in order to extend BDI agents with learning. Although this latter body of research is important, the key contribution of BDI model, i.e., practical reasoning, did not receive a sufficient attention. For instance, for performance reasons, some of the concepts included in the BDI model are neglected by BDI architectures. Neglecting these concepts was criticized by some researchers, as the ability of the agent to reason will be limited, which eventually leads to a more or less flexible reasoning, depending on the concepts explicitly included. The current paper aims to stimulate the researchers to re-explore the concretization of practical reasoning in BDI architectures. Concretely, this paper aims to stimulate a critical review of BDI architectures regarding the flexibility, inherent from the practical reasoning, in the context of single agents, situated in an environment which is not associated with uncertainty. Based on this review, we sketch a new orientation and some suggested improvements for the design of BDI agents. Finally, a simple experiment on a specific case study is carried out to evaluate some suggested improvements, namely the contribution of the agent’s “well-informedness” in the enhancement of the behavioral flexibility.
Style APA, Harvard, Vancouver, ISO itp.
4

Sinhababu, Neil. "The Desire-Belief Account of Intention Explains Everything". Noûs 47, nr 4 (21.06.2012): 680–96. http://dx.doi.org/10.1111/j.1468-0068.2012.00864.x.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Chen, Huang, Chen Long i Hao-Bin Jiang. "Building a Belief–Desire–Intention Agent for Modeling Neural Networks". Applied Artificial Intelligence 29, nr 8 (14.09.2015): 753–65. http://dx.doi.org/10.1080/08839514.2015.1071089.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Kardas, Geylani, Baris Tekin Tezel i Moharram Challenger. "Domain‐specific modelling language for belief–desire–intention software agents". IET Software 12, nr 4 (sierpień 2018): 356–64. http://dx.doi.org/10.1049/iet-sen.2017.0094.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Koo, Chulmo, Youhee Joun, Heejeong Han i Namho Chung. "A structural model for destination travel intention as a media exposure". International Journal of Contemporary Hospitality Management 28, nr 7 (11.07.2016): 1338–60. http://dx.doi.org/10.1108/ijchm-07-2014-0354.

Pełny tekst źródła
Streszczenie:
Purpose This study aims to investigate the effects of a prospective traveler’s perception of media exposure on their intention to visit a destination (i.e. South Korea). Cultural exposure to a particular country through media affects people’s preference for that foreign country, and may ultimately be a function of the behavior for consuming that country’s cultural products – e.g. traveling to that country. Media exposure has been recognized as a major underlying reason for the desire to visit a destination. Design/methodology/approach This study examines the impacts of potential travelers’ media exposure in three different language-use groups (i.e. English, Japanese and Chinese) and their perception of the media exposure on their intention to visit the actual site (i.e. South Korea). To enhance the understanding of the intention to visit the destination, this study proposes a research model based on use and gratification theory and the belief–desire–intention model. Findings Mass and social media exposure had an effect on the intention to visit a destination as a result of the gratification and desire experienced through the content. Research limitations/implications This study suggests the synthesis of the use and gratification theory and the belief–desire–intention model and an examination of theoretical and practical implications. Originality/value This study involved a sample of users of destination marketing sites. In addition, this study investigated the users’ intentions to visit a real tourism destination taking into consideration mass media (traditional media) and social media (new media) based on the use of gratification theory and the belief–desire–intention model. Practically, the findings highlight the crucial role of social media in the intention to visit the tourism destination.
Style APA, Harvard, Vancouver, ISO itp.
8

Farrell, Rachelyn. "Experience Management with Beliefs, Desires, and Intentions for Virtual Agents". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 14, nr 1 (25.09.2018): 290–92. http://dx.doi.org/10.1609/aiide.v14i1.13006.

Pełny tekst źródła
Streszczenie:
Intelligent interactive narrative systems often use an experience manager to govern the behavior of non-player charactersin a way that guides the story towards its author’s agenda, which may be for entertainment, education, training, or other purposes. For such systems, a central challenge is creating believable virtual characters. The Belief Desire Intention framework is often cited as a goal for researchers in this field; for characters to seem realistic, a human audience should attribute beliefs, desires, and intentions to them. Much of my prior work has focused on belief; my goal for the future is to finish the work on belief, and to implement a new model of desire and intention that explicitly reasons about characters’ commitment to certain plans of action.
Style APA, Harvard, Vancouver, ISO itp.
9

Ortiz-Hernández, Gustavo, Alejandro Guerra-Hernández, Jomi F. Hübner i Wulfrano Arturo Luna-Ramírez. "Modularization in Belief-Desire-Intention agent programming and artifact-based environments". PeerJ Computer Science 8 (1.12.2022): e1162. http://dx.doi.org/10.7717/peerj-cs.1162.

Pełny tekst źródła
Streszczenie:
This article proposes an extension for the Agents and Artifacts meta-model to enable modularization. We adopt the Belief-Desire-Intention (BDI) model of agency to represent independent and reusable units of code by means of modules. The key idea behind our proposal is to take advantage of the syntactic notion of namespace, i.e., a unique symbol identifier to organize a set of programming elements. On this basis, agents can decide in BDI terms which beliefs, goals, events, percepts and actions will be independently handled by a particular module. The practical feasibility of this approach is demonstrated by developing an auction scenario, where source code enhances scores of coupling, cohesion and complexity metrics, when compared against a non-modular version of the scenario. Our solution allows to address the name-collision issue, provides a use interface for modules that follows the information hiding principle, and promotes software engineering principles related to modularization such as reusability, extensibility and maintainability. Differently from others, our solution allows to encapsulate environment components into modules as it remains independent from a particular BDI agent-oriented programming language.
Style APA, Harvard, Vancouver, ISO itp.
10

Kashima, Yoshihisa, Allison McKintyre i Paul Clifford. "The Category of the Mind: Folk Psychology of Belief, Desire, and Intention". Asian Journal Of Social Psychology 1, nr 3 (grudzień 1998): 289–313. http://dx.doi.org/10.1111/1467-839x.00019.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
Więcej źródeł

Rozprawy doktorskie na temat "Belief-desire-intention"

1

Yao, Yuan. "Robust execution of belief-desire-intention-based agent programs". Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/46948/.

Pełny tekst źródła
Streszczenie:
Belief-Desire-Intention (BDI) agent systems are a popular approach to building intelligent agents for complex and dynamic domains. In the BDI approach, agents select plans to achieve their goals based on their beliefs. When BDI agents pursue multiple goals in parallel, the interleaving of steps in different plans to achieve goals may result in conflicts, e.g., where the execution of a step in one plan makes the execution of a step in another concurrently executing plan impossible. Conversely, plans may also interact positively with each other, e.g., where the execution of a step in one plan assists the execution of a step in other concurrently executing plans. To avoid negative interactions and exploit positive interactions, an intelligent agent should have the ability to reason about the interactions between its intended plans. We propose SAM, an approach to scheduling the progression of an agent’s intentions (intended plans) based on Monte-Carlo Tree Search and its variant Single-Player Monte-Carlo Tree Search. SAM is capable of selecting plans to achieve an agent’s goals and interleaving the execution steps in these plans in a domain-independent way. In addition, SAM also allows developers to customise how the agent’s goals should be achieved, and schedules the progression of the agent’s intentions in a way that best satisfies the requirements of a particular application. To illustrate the flexibility of SAM, we show how our approach can be configured to prioritise criteria relevant in a range of different scenarios. In each of these scenarios, we evaluate the performance of SAM and compare it with previous approaches to intention progression in both synthetic and real-world domains.
Style APA, Harvard, Vancouver, ISO itp.
2

Lee, Seung Ho. "INTEGRATED HUMAN DECISION BEHAVIOR MODELING UNDER AN EXTENDED BELIEF-DESIRE-INTENTION FRAMEWORK". Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/193788.

Pełny tekst źródła
Streszczenie:
Modeling comprehensive human decision behaviors in a unified and extensible framework is quite challenging. In this research, an integrated Belief-Desire-Intention (BDI) modeling framework is proposed to represent the human decision behavior, whose submodules (Belief, Desire, Decision-Making, and Emotion modules) are based on a Bayesian belief network (BBN), Decision-Field-Theory (DFT), a probabilistic depth first search (PDFS) technique, and a BBN-reinforcement (Q-Learning) hybrid learning algorithm. A key novelty of the proposed model is its ability to represent various human decision behaviors such as decision-making, decision-planning, and learning in a unified framework.To this end, first, we extend DFT (a widely known psychological model for preference evolution) to cope with dynamic environments. The extended DFT (EDFT) updates the subjective evaluation for the alternatives and the attention weights on the attributes via BBN under the dynamic environment. To illustrate and validate the proposed EDFT, a human-in-the-loop experiment is conducted for a virtual stock market. Second, a new approach to represent learning (a dynamic evolution process of underlying modules) in the human decision behavior is proposed under the context of the BDI framework. Our research focuses on how a human adjusts his perception process (involving BBN) dynamically against his performance (depicted via a confidence index) in predicting the environment as part of his decision-planning. To this end, Q-learning is employed and further developed.To mimic realistic human behaviors, attributes of the BDI framework are reverse-engineered from human-in-the-loop experiments conducted in the Cave Automatic Virtual Environment (CAVE). The proposed modeling framework is demonstrated for a human's evacuation behaviors in response to a terrorist bomb attack. The constructed simulation has been used to test the impact of several factors (e.g., demographics, number of police officers, information sharing via speakers) on evacuation performance (e.g., average evacuation time, percentage of casualties).In addition, the proposed human decision behavior model is extended for decisions of many stakeholders that form a complex social network in the community-based development of software systems.To the best of our knowledge, the proposed human decision behavior modeling framework is one of the first efforts to represent various human decision behaviors (e.g., decision-making, decision-planning, dynamic learning) in a unified BDI framework.
Style APA, Harvard, Vancouver, ISO itp.
3

Coelho, Cássio Giorgio Couto. "Agentes racionais baseados no modelo belief-desire-intention para o sistema multiagente MASE". reponame:Repositório Institucional da UnB, 2014. http://repositorio.unb.br/handle/10482/17448.

Pełny tekst źródła
Streszczenie:
Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2014.
Submitted by Ana Cristina Barbosa da Silva (annabds@hotmail.com) on 2014-12-09T15:23:43Z No. of bitstreams: 1 2014_CassioGiorgioCoutoCoelho.pdf: 6440675 bytes, checksum: 8b5963a4d93a602d979ee7ef3249dccf (MD5)
Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2014-12-29T18:43:20Z (GMT) No. of bitstreams: 1 2014_CassioGiorgioCoutoCoelho.pdf: 6440675 bytes, checksum: 8b5963a4d93a602d979ee7ef3249dccf (MD5)
Made available in DSpace on 2014-12-29T18:43:20Z (GMT). No. of bitstreams: 1 2014_CassioGiorgioCoutoCoelho.pdf: 6440675 bytes, checksum: 8b5963a4d93a602d979ee7ef3249dccf (MD5)
MASE, acrônimo para Multi-Agent System for Enviromental Simulation, foi uma aplicação desenvolvida para a investigação da dinâmica do uso e conversão do solo em cenários ambientais, e apresentou bons resultados utilizando o modelo Cerrado-DF. Como forma de aumentar o domínio dessa ferramenta, este trabalho explorou o modelo de cognição baseado em Belief-Desire-Intention por meio do framework JADEX. Para isso, a arquitetura do MASE foi reformulada e seu código foi refatorado, tanto para que os agentes representassem melhor o raciocínio humano quanto para que a aplicação possuísse melhor desempenho de tempo na execução das simulações. A evolução dessas características trouxe o sucessor do MASE, que foi validado nesse trabalho por meio de dois estudos de caso. Os resultados gerados com essa nova proposta foram comparados com os obtidos no MASE, testando assim a exibilidade da ferramenta e a melhoria do desempenho do sistema. ____________________________________________________________________________________ ABSTRACT
MASE, acronym to Multi-Agent System for Enviromental Simulation, was an application developed for land usage and cover change dynamics investigation, using diferent environmental scenarios, and good results with the Cerrado-DF model were obtained with its usage. To increase the domain of MASE, this work explored the Belief-Desire- Intention cognition model using the JADEX framework. This objective was obtained by MASE architecture reformulation, with code refactoring, so the agents could better represent human rationality, as the system time performance could be enhanced. The evolution of this features brought MASE's sucessor: MASE-BDI, which was validated by two case studies. The generated results were compared with the ones obtained in the past with MASE, so the MASE-BDI _exibility could be tested, as performance enhance could be proved as well.
Style APA, Harvard, Vancouver, ISO itp.
4

Kim, Sojung. "Dynamic Learning and Human Interactions under the Extended Belief-Desire-Intention Framework for Transportation Systems". Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/578837.

Pełny tekst źródła
Streszczenie:
In recent years, multi-agent traffic simulation has been widely used to accurately evaluate the performance of a road network considering individual and dynamic movements of vehicles under a virtual roadway environment. Given initial traffic demands and road conditions, the simulation is executed with multiple iterations and provides users with converged roadway conditions for the performance evaluation. For an accurate traffic simulation model, the driver's learning behavior is one of the major components to be concerned, as it affects road conditions (e.g., traffic flows) at each iteration as well as performance (e.g., accuracy and computational efficiency) of the traffic simulation. The goal of this study is to propose a realistic learning behavior model of drivers concerning their uncertain perception and interactions with other drivers. The proposed learning model is based on the Extended Belief-Desire-Intention (E-BDI) framework and two major decisions arising in the field of transportation (i.e., route planning and decision-making at an intersection). More specifically, the learning behavior is modeled via a dynamic evolution of a Bayesian network (BN) structure. The proposed dynamic learning approach considers three underlying assumptions: 1) the limited memory of a driver, 2) learning with incomplete observations on the road conditions, and 3) non-stationary road conditions. Thus, the dynamic learning approach allows driver agents to understand real-time road conditions and estimate future road conditions based on their past knowledge. In addition, interaction behaviors are also incorporated in the E-BDI framework to address influences of interactions on the driver's learning behavior. In this dissertation work, five major human interactions adopted from a social science literature are considered: 1) accommodation, 2) collaboration, 3) compromise, 4) avoidance, and 5) competition. The first three interaction types help to mimic information exchange behaviors between drivers (e.g., finding a route using a navigation system) while the last two interaction types are relevant with behaviors involving non-information exchange behaviors (e.g., finding a route based on a driver's own experiences). To calibrate the proposed learning behavior model and evaluate its performance in terms of inference accuracy and computational efficiency, drivers' decision data at intersections are collected via a human-in-the-loop experiment involving a driving simulator. Moreover, the proposed model is used to test and demonstrate the impact of five interactions on drivers' learning behavior under an en route planning scenario with real traffic data of Albany, New York, and Phoenix, Arizona. In this dissertation work, two major traffic simulation platforms, AnyLogic® and DynusT®, are used for the demonstration purposes. The experimental results reveal that the proposed model is effective in modeling realistic learning behaviors of drivers in conduction with interactions with other drivers.
Style APA, Harvard, Vancouver, ISO itp.
5

TIENGO, Willy Carvalho. "Assistente avançado de suporte ao motorista para redução de risco de tombamento de veículos pesados em curva". Universidade Federal de Campina Grande, 2018. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/566.

Pełny tekst źródła
Streszczenie:
Submitted by Lucienne Costa (lucienneferreira@ufcg.edu.br) on 2018-05-03T18:38:37Z No. of bitstreams: 1 WILLY CARVALHO TIENGO – TESE (PPGCC) 2018.pdf: 4153575 bytes, checksum: 929b905dca8b61fcb0f831264752540f (MD5)
Made available in DSpace on 2018-05-03T18:38:37Z (GMT). No. of bitstreams: 1 WILLY CARVALHO TIENGO – TESE (PPGCC) 2018.pdf: 4153575 bytes, checksum: 929b905dca8b61fcb0f831264752540f (MD5) Previous issue date: 2018
No Brasil, o transporte rodoviário é responsável por 58% do transporte de carga, que tem os acidentes como um grande problema, pois, em geral, esses ocasionam muitas vítimas, prejuízos econômicos relevantes e em alguns casos danos ambientais decorrentes de derramamento de carga. Estudos apontam que os prejuízos com os acidentes no transporte de carga em 2012 foram de mais de 9 bilhões de reais. Estudo realizado em 2007 pela PAMCARY, corretora de seguros e gestora de riscos, revelou que os eventos que combinam maior frequência e gravidade são tombamento e capotagem. Nesse sentido, esta pesquisa consiste na elaboração de um assistente avançado para motorista que objetiva alertar previamente sobre a velocidade limite da curva, a fim de diminuir os riscos de tombamento. Em outras palavras, consiste em buscar mitigar o problema auxiliando o motorista para que ele mantenha o veículo em uma velocidade segura, por meio de alertas e em prazo adequado, que permitam ao motorista tomar medidas corretivas em caso de estado inseguro. A solução foi desenvolvida a partir de uma arquitetura modular, que funciona da seguinte forma: por meio de sensores (velocidade, GPS e posição do acelerador), associado a mapas digitais, o risco de acidente é controlado constantemente. Com isso, um dispositivo poderia ser embarcado na cabine do veículo para emitir alertas visual e auditivo de risco de tombamento. A solução utiliza o indicador de estabilidade chamado Limiar Estático de Tombamento que, associado à informação a priori de mapas digitais, permite o cálculo do risco de tombamento com diferentes abordagens. No contexto da pesquisa, foram desenvolvidas 04 versões de assistentes. Além disso, foi proposto um arcabouço de simulação microscópica de trânsito baseado no modelo de raciocínio prático denominado de belief-desire-intention (BDI) para permitir o desenvolvimento e a validação de agentes inteligentes para Sistemas Avançados de Assistência ao Motorista de maneira rápida, flexível e fácil. Para avaliar o potencial dos assistentes, foi escolhida a BR-101, estrada federal de Alagoas com mais ocorrências de tombamento. Nessa rodovia, foram simulados 400 veículos para avaliar o desempenho dos assistentes propostos. Em particular, foram investigadas a efetividade, intrusividade, omissão e a segurança para avaliar o desempenho dos assistentes.
In Brazil, highway transportation is responsible for 58% of cargo transport. A relevant problem associated to cargo transport are the accidents, that generally cause an elevated number of victims, relevant economic losses and, in some cases, damages to the environment due to cargo spills, since there are also dangerous products being transported. Researches point out that the cost of accidents in cargo transportation in 2012 was more than BRL 9 billion. A study performed in 2007 by PAMCARY revealed the accidents profile: the events that combine higher frequency and gravity are rollover and tipping (considered here as the same nature). In this study, incompatible speed and fatigue, factors that are related to human actions, were pointed out as main causes of accidents; for another hand, sharp curve and poorly maintained roads are contributing factors to accidents. Therefore, the research proposal consists of the adoption of an assistant for warning in advance of over speed for a specific curve. This may reduce rollover risks. In other words, it would be mitigated the problem by helping the driver to maintain the vehicle in a safe speed, through customized alerts just in time to allow the driver to take corrective maneuvers in case of unsafe state. The solution is a modular architecture, which works as follows: through sensors (speed, GPS and throttle position) associated with digital maps, it is controlled the risk of accident constantly. With that, an embedded device at the vehicle’s cab could to emit visual and sound alerts warning the risk of rollover. In this work, it is proposed the adoption of the stability indicator known as Static Rollover Threshold, which is combined with a priori information from digital maps to allow the calculation of the rollover risk by different approaches. In the context of this research, 04 versions of assistants were developed. In addition, a microscopic traffic simulation framework was proposed based on the practical reasoning model named belief-desire-intention (BDI) to support the development and validation of intelligent agents for Advanced Driver Assistance Systems in a fast, flexible and easy way. To evaluate the assistants’ potential, the BR-101, Federal Highway of Alagoas with more occurrence of rollover, was chosen. On this highway, 400 vehicles were simulated to evaluate the performance of the proposed assistants. The effectiveness, intrusiveness, omission and safety of the assistants were investigated.
Style APA, Harvard, Vancouver, ISO itp.
6

Nair, Vineet. "On Extending BDI Logics". Thesis, Griffith University, 2003. http://hdl.handle.net/10072/365892.

Pełny tekst źródła
Streszczenie:
In this thesis we extend BDI logics, which are normal multimodal logics with an arbitrary set of normal modal operators, from three different perspectives. Firstly, based on some recent developments in modal logic, we examine BDI logics from a combining logic perspective and apply combination techniques like fibring/dovetailing for explaining them. The second perspective is to extend the underlying logics so as to include action constructs in an explicit way based on some recent action-related theories. The third perspective is to adopt a non-monotonic logic like defeasible logic to reason about intentions in BDI. As such, the research captured in this thesis is theoretical in nature and situated at the crossroads of various disciplines relevant to Artificial Intelligence (AI). More specifically this thesis makes the following contributions: 1. Combining BDI Logics through fibring/dovetailing: BDI systems modeling rational agents have a combined system of logics of belief, time and intention which in turn are basically combinations of well understood modal logics. The idea behind combining logics is to develop general techniques that allow to produce combinations of existing and well understood logics. To this end we adopt Gabbay's fibring/dovetailing technique to provide a general framework for the combinations of BDI logics. We show that the existing BDI framework is a dovetailed system. Further we give conditions on the fibring function to accommodate interaction axioms of the type G [superscript k,l,m,n] ([diamond][superscript k] [superscript l] [phi] [implies] [superscript m] [diamond][superscript n] [phi]) based on Catach's multimodal semantics. This is a major result when compared with other combining techniques like fusion which fails to accommodate axioms of the above type. 2. Extending the BDI framework to accommodate Composite Actions: Taking motivation from a recent work on BDI theory, we incorporate the notion of composite actions, [pi]-1; [pi]-2 (interpreted as [pi]-1 followed by [pi]-2), to the existing BDI framework. To this end we introduce two new constructs Result and Opportunity which helps in reasoning about the actual execution of such actions. We give a set of axioms that can accommodate the new constructs and analyse the set of commitment axioms as given in the original work in the background of the new framework. 3. Intention reasoning as Defeasible reasoning: We argue for a non-monotonic logic of intention in BDI as opposed to the usual normal modal logic one. Our argument is based on Bratman's policy-based intention. We show that policy-based intention has a defeasible/non-monotonic nature and hence the traditional normal modal logic approach to reason about such intentions fails. We give a formalisation of policy-based intention in the background of defeasible logic. The problem of logical omniscience which usually accompanies normal modal logics is avoided to a great extend through such an approach.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information Technology
Full Text
Style APA, Harvard, Vancouver, ISO itp.
7

Nair, Vineet, i n/a. "On Extending BDI Logics". Griffith University. School of Information Technology, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030929.095254.

Pełny tekst źródła
Streszczenie:
In this thesis we extend BDI logics, which are normal multimodal logics with an arbitrary set of normal modal operators, from three different perspectives. Firstly, based on some recent developments in modal logic, we examine BDI logics from a combining logic perspective and apply combination techniques like fibring/dovetailing for explaining them. The second perspective is to extend the underlying logics so as to include action constructs in an explicit way based on some recent action-related theories. The third perspective is to adopt a non-monotonic logic like defeasible logic to reason about intentions in BDI. As such, the research captured in this thesis is theoretical in nature and situated at the crossroads of various disciplines relevant to Artificial Intelligence (AI). More specifically this thesis makes the following contributions: 1. Combining BDI Logics through fibring/dovetailing: BDI systems modeling rational agents have a combined system of logics of belief, time and intention which in turn are basically combinations of well understood modal logics. The idea behind combining logics is to develop general techniques that allow to produce combinations of existing and well understood logics. To this end we adopt Gabbay's fibring/dovetailing technique to provide a general framework for the combinations of BDI logics. We show that the existing BDI framework is a dovetailed system. Further we give conditions on the fibring function to accommodate interaction axioms of the type G [superscript k,l,m,n] ([diamond][superscript k] [superscript l] [phi] [implies] [superscript m] [diamond][superscript n] [phi]) based on Catach's multimodal semantics. This is a major result when compared with other combining techniques like fusion which fails to accommodate axioms of the above type. 2. Extending the BDI framework to accommodate Composite Actions: Taking motivation from a recent work on BDI theory, we incorporate the notion of composite actions, [pi]-1; [pi]-2 (interpreted as [pi]-1 followed by [pi]-2), to the existing BDI framework. To this end we introduce two new constructs Result and Opportunity which helps in reasoning about the actual execution of such actions. We give a set of axioms that can accommodate the new constructs and analyse the set of commitment axioms as given in the original work in the background of the new framework. 3. Intention reasoning as Defeasible reasoning: We argue for a non-monotonic logic of intention in BDI as opposed to the usual normal modal logic one. Our argument is based on Bratman's policy-based intention. We show that policy-based intention has a defeasible/non-monotonic nature and hence the traditional normal modal logic approach to reason about such intentions fails. We give a formalisation of policy-based intention in the background of defeasible logic. The problem of logical omniscience which usually accompanies normal modal logics is avoided to a great extend through such an approach.
Style APA, Harvard, Vancouver, ISO itp.
8

Stenfelt, Matilda. "Intentionalitet i kollektiva beteenden hos en artificiell svärm". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166315.

Pełny tekst źródła
Streszczenie:
Målet med den här datorbaserade filosofiska utredningen inom kognitionsvetenskap är att utforska intentionalitet i kollektiva beteenden hos artificiella svärmar. Två definitioner av intentionalitet utforskades; som representationer hos agenter och som observerbara attribut hos agenter, även kallat intentional stance. För den representativa definitionen användes en modell av kollektiv intentionalitet som integrerar två olika ståndpunkter, singularståndpunkten och pluralståndpunkten av kollektiv intentionalitet. Modellen har fem villkor för intentionalitet enligt SharedPlans. Genom att använda Belief-Desire-Intention-modellen för intelligenta agenter operationaliserades villkoren till möjliga representationer. En implementation av en målinriktad artificiell svärm i NetLogo analyserades genom att studera hur väl den uppfyllde de operationaliserade villkoren. Fyra av fem villkor var uppfyllda. Flera simuleringar med olika hastighet genomfördes även under observation. Dessa visade att processen kunde delas upp i tre faser med olika egenskaper. Den utforskande fasen hade gemensam intentionalitet centrerad till ett fåtal aktiva individer. Beslutsfasen hade individuella intentioner som kunde stå i konflikt med varandra medan gemensamma intentioner strävade mot samma mål. I flyttfasen var de individuella intentionerna att förhålla sig till varandra, vilket fick gruppen att upplevas som en enhet med intentionen att flytta gruppen. Resultaten visade att intentionalitet kan observeras och analyseras hos den här artificiella svärmen. Däremot har svärmen inte kollektiv intentionalitet utifrån båda ståndpunkterna.
Style APA, Harvard, Vancouver, ISO itp.
9

Bosello, Michael. "Integrating BDI and Reinforcement Learning: the Case Study of Autonomous Driving". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21467/.

Pełny tekst źródła
Streszczenie:
Recent breakthroughs in machine learning are paving the way to the vision of software 2.0 era, which foresees the replacement of traditional software development with such techniques for many applications. In the context of agent-oriented programming, we believe that mixing together cognitive architectures like the BDI one and learning techniques could trigger new interesting scenarios. In that view, our previous work presents Jason-RL, a framework that integrates BDI agents and Reinforcement Learning (RL) more deeply than what has been already proposed so far in the literature. The framework allows the development of BDI agents having both explicitly programmed plans and plans learned by the agent using RL. The two kinds of plans are seamlessly integrated and can be used without differences. Here, we take autonomous driving as a case study to verify the advantages of the proposed approach and framework. The BDI agent has hard-coded plans that define high-level directions while fine-grained navigation is learned by trial and error. This approach – compared to plain RL – is encouraging as RL struggles in temporally extended planning. We defined and trained an agent able to drive in a track with an intersection, at which it has to choose the correct path to reach the assigned target. A first step towards porting the system in the real-world has been done by building a 1/10 scale racecar prototype which learned how to drive in a simple track.
Style APA, Harvard, Vancouver, ISO itp.
10

Liu, Bang-Quan, i 劉邦權. "Using Belief-Desire-Intention Agent for ebXML CPA Negotiation". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/54833460168930719888.

Pełny tekst źródła
Streszczenie:
碩士
中原大學
資訊管理研究所
93
The ebXML is one of the most important frameworks for electronic commerce disciplines. Before trading, business partners have proposed the collaboration protocol profile (CPP) to describe their business capabilities. In practice, two enterprises base on their CPP to negotiate an agreement in terms of a collaboration protocol agreement (CPA). Currently the negotiation process is highly human-intensive that causes some problematic such as time consuming and error prone. Since ebXML intend to provide automated business framework, the efficient performance in preprocess of ebXML framework is essential. This study proposes a synergy approach based on the agent mechanism. The core architecture of the agent utilizes the Belief-Desire-Intention (BDI) to construct rules and actions in terms of the negotiation protocol. The BDI is intention centered that facilitates the internal design becoming consequence-reason. The study provides a walkthrough example to verify BDI-based agents in negotiation. The empirical feedbacks indicate that BDI has advantages in reducing the complexity of negotiation protocol and raising negotiation performance.
Style APA, Harvard, Vancouver, ISO itp.

Książki na temat "Belief-desire-intention"

1

Simari, Gerardo I., i Simon D. Parsons. Markov Decision Processes and the Belief-Desire-Intention Model. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1472-8.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

D, Parsons Simon, i SpringerLink (Online service), red. Markov Decision Processes and the Belief-Desire-Intention Model: Bridging the Gap for Autonomous Agents. New York, NY: The Author(s), 2011.

Znajdź pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Byrne, Alex. Desire, Intention, and Emotion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198821618.003.0007.

Pełny tekst źródła
Streszczenie:
So far, a transparent epistemology has been given for belief and perception. Assuming that is correct, this chapter begins by arguing that transparency must apply across the board, thus giving a “general theory” of self-knowledge. The chapter then sketches the needed extensions for desire, intention, and emotion (using the specific example of disgust). The three proposed rules for desire, intention, and disgust explain privileged and peculiar access in the usual style. Privileged access is explained because one tries to follow these rules, then (minor qualifications aside) one will arrive at a true belief about one’s desire, intention, or feeling of disgust. And peculiar access is explained because the methods only work, or only work in full generality, in one’s own case. The rules are also detectivist, and plausibly economical.
Style APA, Harvard, Vancouver, ISO itp.
4

Salice, Alessandro. Practical Intentionality. Redaktor Dan Zahavi. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198755340.013.7.

Pełny tekst źródła
Streszczenie:
The aim of this chapter is to mine, reconstruct, and evaluate the phenomenological notion of practical intentionality. It is claimed that the phenomenologists of the Munich and Göttingen Circles substantially modify the idea of practical intentionality originally developed by Franz Brentano. This development, it is further contended, anticipates the switch that occurred within contemporary theory of action from a belief-desire (BD) to a belief-desire-intention (BDI) model of deliberation. While Brentano’s position can be interpreted as a variant of the BD model, early phenomenologists propose a general theory of deliberation that, in line with the BDI account, puts the notion of intention at the very core of practical intentionality. On their understanding, the concept of intention points to a primitive kind of mental state that cannot be reduced to a combination of beliefs and desires.
Style APA, Harvard, Vancouver, ISO itp.
5

Williamson, Timothy. Acting on Knowledge. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198716310.003.0008.

Pełny tekst źródła
Streszczenie:
This chapter develops and refines the analogy between knowledge and action in Knowledge and its Limits. The general schema is: knowledge is to belief as action is to intention. The analogy reverses direction of fit between mind and world. The knowledge/belief side corresponds to the inputs to practical reasoning, the action/intention side to its outputs. Since desires are inputs to practical reasoning, the desire-as-belief thesis is considered sympathetically. When all goes well with practical reasoning, one acts on what one knows. Belief plays the same local role as knowledge, and intention as action, in practical reasoning. This is the appropriate setting to understand knowledge norms for belief and practical reasoning. Marginalizing knowledge in epistemology is as perverse as marginalizing action in the philosophy of action. Opponents of knowledge-first epistemology are challenged to produce an equally systematic and plausible account of the relation between the cognitive and the practical.
Style APA, Harvard, Vancouver, ISO itp.
6

Williams, J. Robert G. The Metaphysics of Representation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198850205.001.0001.

Pełny tekst źródła
Streszczenie:
What is representation? How do the more primitive aspects of our world come together to generate it? How do different kinds of representation relate to one another? This book identifies the metaphysical foundations for representational facts. The story told is in three parts. The most primitive layer of representation is the ‘aboutness’ of sensation/perception and intention/action, which are the two most basic modes in which an individual and the world interact. It is argued that we can understand how this kind of representation can exist in a fundamentally physical world so long as we have an independent, illuminating grip on functions and causation. The second layer of representation is the ‘aboutness’ of (degrees of) belief and desire, whose representational content goes far beyond the immediate perceptable and manipulable environment. It is argued that the correct belief/desire interpretation of an agent is the one which makes their action-guiding states, given their perceptual evidence, most rational. The final layer of representation is the ‘aboutness’ of words and sentences, human artefacts with representational content. It is argued that one can give an illuminating account of the conditions under which a compositional interpretation of a public language like English is correct by appeal to patterns emerging from the attitudes conventionally expressed by sentences. The three-layer metaphysics of representation resolves long-standing underdetermination puzzles, predicts and explains patterns in the way that concepts denote, and articulates a delicate interactive relationship between the foundations of language and thought.
Style APA, Harvard, Vancouver, ISO itp.
7

Byrne, Alex. Transparency and Self-Knowledge. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198821618.001.0001.

Pełny tekst źródła
Streszczenie:
T&SK sets out and defends a theory of self-knowledge—knowledge of one’s mental states. Inspired by Gareth Evans’ discussion of self-knowledge in his The Varieties of Reference, the basic idea is that one comes to know that one is in a mental state M by an inference from a worldly or environmental premise to the conclusion that one is in M. (Typically the worldly premise will not be about anything mental.) The mind, on this account, is “transparent”: self-knowledge is achieved by an “outward glance” at the corresponding tract of the world, not by an “inward glance” at one’s own mind. Belief is the clearest case, with the inference being from ‘p’ to ‘I believe that p.’ One serious problem with this idea is that the inference seems terrible, because ‘p’ is at best very weak evidence that one believes that p. Another is that the idea seems not to generalize. For example, what is the worldly premise corresponding to ‘I intend to ϕ‎,’ or ‘I feel a pain’? T&SK argues that both problems can be solved, and explains how the account covers perception, sensation, desire, intention, emotion, memory, imagination, and thought. The result is a unified theory of self-knowledge that explains the epistemic security of beliefs about one’s mental states (privileged access), as well as the fact that one has a special first-person way of knowing about one’s mental states (peculiar access).
Style APA, Harvard, Vancouver, ISO itp.

Części książek na temat "Belief-desire-intention"

1

Sacharny, David, i Thomas Henderson. "UAS Belief–Desire–Intention Agent Architecture". W Lane-Based Unmanned Aircraft Systems Traffic Management, 83–108. Cham: Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-98574-5_6.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Georgeff, Michael, Barney Pell, Martha Pollack, Milind Tambe i Michael Wooldridge. "The Belief-Desire-Intention Model of Agency". W Intelligent Agents V: Agents Theories, Architectures, and Languages, 1–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-49057-4_1.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Fichera, Loris, Daniele Marletta, Vincenzo Nicosia i Corrado Santoro. "Flexible Robot Strategy Design Using Belief-Desire-Intention Model". W Research and Education in Robotics - EUROBOT 2010, 57–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27272-1_5.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Su, Kaile, Weiya Yue, Abdul Sattar, Mehmet A. Orgun i Xiangyu Luo. "Observation-Based Logic of Knowledge, Belief, Desire and Intention". W Knowledge Science, Engineering and Management, 366–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11811220_31.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Simari, Gerardo I., i Simon D. Parsons. "Introduction". W Markov Decision Processes and the Belief-Desire-Intention Model, 1–2. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1472-8_1.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Simari, Gerardo I., i Simon D. Parsons. "Preliminary Concepts". W Markov Decision Processes and the Belief-Desire-Intention Model, 3–9. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1472-8_2.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Simari, Gerardo I., i Simon D. Parsons. "An Empirical Comparison of Models". W Markov Decision Processes and the Belief-Desire-Intention Model, 11–25. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1472-8_3.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Simari, Gerardo I., i Simon D. Parsons. "A Theoretical Comparison of Models". W Markov Decision Processes and the Belief-Desire-Intention Model, 27–48. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1472-8_4.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
9

Simari, Gerardo I., i Simon D. Parsons. "Related Work". W Markov Decision Processes and the Belief-Desire-Intention Model, 49–53. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1472-8_5.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
10

Simari, Gerardo I., i Simon D. Parsons. "Conclusions, Limitations, and Future Directions". W Markov Decision Processes and the Belief-Desire-Intention Model, 55–56. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1472-8_6.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.

Streszczenia konferencji na temat "Belief-desire-intention"

1

Su, Kaile, Xiangyu Luo, Abdul Sattar i Mehmet A. Orgun. "The interpreted system model of knowledge, belief, desire and intention". W the fifth international joint conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1160633.1160668.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
2

Son, Young-Jun. "An Integrated Human Decision Making Model under Extended Belief-Desire-Intention Framework". W SIGSIM-PADS '17: SIGSIM Principles of Advanced Discrete Simulation. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3064911.3064936.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
3

Mateus, Gustavo Pereira, Beatriz Wilges, Luiz Claudio Duarte Dalmolin, Silvia Nassar i Ricardo Silveira. "A Belief Desire Intention Multi Agent System in a Virtual Learning Environment". W 2009 Ninth IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE, 2009. http://dx.doi.org/10.1109/icalt.2009.213.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
4

Lee, Seungho, i Young-Jun Son. "Integrated human decision making model under Belief-Desire-Intention framework for crowd simulation". W 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736153.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
5

Shaw, Gail, i Etienne van der Poel. "Genetic Algorithms as a feasible re-planning mechanism for Belief-Desire-Intention Agents". W the 2015 Annual Research Conference. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2815782.2815817.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
6

Kim, Sojung, Young-Jun Son, Ye Tian i Yi-Chang Chiu. "Drivers' en-route divergence behavior modeling using Extended Belief-Desire-Intention (E-BDI) framework". W 2014 Winter Simulation Conference - (WSC 2014). IEEE, 2014. http://dx.doi.org/10.1109/wsc.2014.7019901.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
7

Vanegas-Hernandez, Meili, Célia da Costa Pereira, Diego Moreno, Giovanni Fusco, Andrea G. B. Tettamanzi, Michel Riveill i José Tiberio Hernández. "A new urban segregation-growth coupled model using a belief-desire-intention possibilistic framework". W WI '17: International Conference on Web Intelligence 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3106426.3106486.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
8

Xiao, Zhanhao. "Refinement of Intentions". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/771.

Pełny tekst źródła
Streszczenie:
The aim of this paper is to provide a logical analysis of intention refinement process which plays a fundamental role in the belief-desire-intention (BDI) theory. We briefly show the existing results: a logical framework for intention refinement and the extension of hierarchical task network (HTN) planning to capture high-level intentions. We also present two ongoing directions: extending our logical framework with hierarchical decomposition and revision of intentions based on instrumentality.
Style APA, Harvard, Vancouver, ISO itp.
9

Yao, Yuan, Natasha Alechina, Brian Logan i John Thangarajah. "Intention Progression under Uncertainty". W Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/2.

Pełny tekst źródła
Streszczenie:
A key problem in Belief-Desire-Intention agents is how an agent progresses its intentions, i.e., which plans should be selected and how the execution of these plans should be interleaved so as to achieve the agent’s goals. Previous approaches to the intention progression problem assume the agent has perfect information about the state of the environment. However, in many real-world applications, an agent may be uncertain about whether an environment condition holds, and hence whether a particular plan is applicable or an action is executable. In this paper, we propose SAU, a Monte-Carlo Tree Search (MCTS)-based scheduler for intention progression problems where the agent’s beliefs are uncertain. We evaluate the performance of our approach experimentally by varying the degree of uncertainty in the agent’s beliefs. The results suggest that SAU is able to successfully achieve the agent’s goals even in settings where there is significant uncertainty in the agent’s beliefs.
Style APA, Harvard, Vancouver, ISO itp.
10

Jiaqi Yan, Shanshan Wang, S. X. Sun, Huaiqing Wang i Zhongsheng Hua. "A Belief-Desire-Intention logic model for analysing the cheating behaviour in quality control of dairy product". W 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies (DEST). IEEE, 2009. http://dx.doi.org/10.1109/dest.2009.5276769.

Pełny tekst źródła
Style APA, Harvard, Vancouver, ISO itp.
Możesz być także zainteresowany rozszerzonymi bibliografiami na temat „Belief-desire-intention” dla poszczególnych typów źródeł:
Artykuły w czasopismach
Oferujemy zniżki na wszystkie plany premium dla autorów, których prace zostały uwzględnione w tematycznych zestawieniach literatury. Skontaktuj się z nami, aby uzyskać unikalny kod promocyjny!

Do bibliografii