標(biāo)題: Titlebook: Logical Foundations for Cognitive Agents; Contributions in Hon Hector J. Levesque,Fiora Pirri Book 1999 Springer-Verlag Berlin Heidelberg 1 [打印本頁] 作者: broach 時(shí)間: 2025-3-21 16:56
書目名稱Logical Foundations for Cognitive Agents影響因子(影響力)
書目名稱Logical Foundations for Cognitive Agents影響因子(影響力)學(xué)科排名
書目名稱Logical Foundations for Cognitive Agents網(wǎng)絡(luò)公開度
書目名稱Logical Foundations for Cognitive Agents網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Logical Foundations for Cognitive Agents被引頻次
書目名稱Logical Foundations for Cognitive Agents被引頻次學(xué)科排名
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書目名稱Logical Foundations for Cognitive Agents年度引用學(xué)科排名
書目名稱Logical Foundations for Cognitive Agents讀者反饋
書目名稱Logical Foundations for Cognitive Agents讀者反饋學(xué)科排名
作者: 裝飾 時(shí)間: 2025-3-22 00:04
Toward Efficient Default Reasoning,orrectness for speed, but we argue that the nature of default reasoning makes this trade relatively inexpensive and intuitively plausible. This approach not only accords well with Reiter’s original motivations, but converges to Default Logic in the computational limit. We describe a prototype implem作者: esoteric 時(shí)間: 2025-3-22 03:44
Explanatory Diagnosis: Conjecturing Actions to Explain Observations,ng an explanatory diagnosis can be achieved by regression followed by theorem proving in the database describing what is known of the initial state of our system. Further, we show that by exploiting features inherent to diagnosis problems, we can simplify the diagnosis task.作者: 大猩猩 時(shí)間: 2025-3-22 06:33 作者: Rotator-Cuff 時(shí)間: 2025-3-22 10:01 作者: eustachian-tube 時(shí)間: 2025-3-22 14:03
Book 1999us to arrive. The International Joint Conference on Ar- tificial Intelligence clearly recognized this and awarded Ray its highest honor, the Research Excellence award in 1993, before it had even finished acknowledging all the founders of the field. The papers collected here sample from many of the a作者: 標(biāo)準(zhǔn) 時(shí)間: 2025-3-22 19:41 作者: 有毛就脫毛 時(shí)間: 2025-3-22 22:37 作者: MARS 時(shí)間: 2025-3-23 04:19
Richard Rosemberg. Subsequently, we achieve feature selection based on the mapping relationship between the original feature space and the subspace. Furthermore, we enhance the accuracy of label correlations by maintaining consistency between the subspace and the feature space, achieving adaptive subspace learning. 作者: 挑剔為人 時(shí)間: 2025-3-23 05:46 作者: fatty-acids 時(shí)間: 2025-3-23 12:46
Fahiem Bacchusummary, which will be used as the guidance indicator. We design a summary-aware review encoder to learn representations of reviews from raw words, and another summary-aware user/item encoder to learn representations of users or items from reviews. To be specific, we propose a hierarchical attention 作者: 規(guī)章 時(shí)間: 2025-3-23 17:20 作者: JOG 時(shí)間: 2025-3-23 20:39
Craig Boutilier,Moisés Goldszmidtal similarity measure is learned by distance metric learning. Experimental results show that, by leveraging the rich relational semantics in texts, our model can outperform the state-of-the-art models by 3.4% on 6.3% in accuracy on two benchmark datasets.作者: 要塞 時(shí)間: 2025-3-24 01:41
John McCarthyerm and short-term, modeled by LSTM and Attention-based model respectively for user’s next click recommendation. We refer this model as LANCR and analyze the model in experiment. The experiment demonstrates that the proposed model has superior improvement compared with standard approaches. We deploy作者: urethritis 時(shí)間: 2025-3-24 05:56
Giovanni Criscuolo,Eliana Minicozziwithin the knowledge graph, ultimately enhancing the model’s effectiveness. At the same time, we add a self-attention mechanism to trim the action space, which solves the problem of large action space of knowledge graph and improves the effectiveness and efficiency of agent action selection. We perf作者: 詩集 時(shí)間: 2025-3-24 06:54 作者: 租約 時(shí)間: 2025-3-24 14:33 作者: 偽善 時(shí)間: 2025-3-24 17:56
Marc Denecker,V. Wiktor Marek,Miros?aw Truszczyńskiyle of the source domain. Meanwhile, SimPGAN uses the similarity consistency loss, which is measured by a siamese deep convolutional neural network, to preserve the similarity of the transformed images of the same person. Comprehensive experiments based on multiple real surveillance datasets are con作者: aggrieve 時(shí)間: 2025-3-24 20:08 作者: CLAY 時(shí)間: 2025-3-25 02:46 作者: Gerontology 時(shí)間: 2025-3-25 05:29
Sheila A. Mcllraithached by a graph regularized autoencoder approach. This new method introduces a novel adaptive parameter to achieve robust integration of the topological and content information when there exists the mismatch between those two types of information in term of communities. Experiments on both syntheti作者: 彎曲的人 時(shí)間: 2025-3-25 10:56 作者: Predigest 時(shí)間: 2025-3-25 11:48
Yves Lespérance,Kenneth Tam,Michael Jenkin gap between the original vocabulary and domain terms in the embedding space. We evaluate our method on both general and biomedical NLP tasks, and experimental results demonstrate a significant improvement in BERT’s performance across all biomedical NLP tasks without affecting its performance on gen作者: Ceremony 時(shí)間: 2025-3-25 16:20
Vladimir Lifschitz action space, PRACM uses Gumbel-Softmax. And to promote cooperation among agents and to adapt to cooperative environments with penalties, the predictive rewards is introduced. PRACM was evaluated against several baseline algorithms in “Cooperative Predator-Prey” and the challenging “SMAC” scenarios作者: Amplify 時(shí)間: 2025-3-25 20:40
Fangzhen Linin the learned useful meta-path graph as an explanation. Experimental results on two real-world datasets demonstrate KGTN’s superiority over state-of-the-art methods in terms of recommendation performance and explainability. Furthermore, KGTN is shown to be effective at handling data sparsity and co作者: 放大 時(shí)間: 2025-3-26 02:52 作者: debris 時(shí)間: 2025-3-26 07:51 作者: 放肆的我 時(shí)間: 2025-3-26 09:45
https://doi.org/10.1007/978-3-642-60211-5agents; artificial intelligence; behavior; commonsense reasoning; control; default logic; hybrid systems; k作者: Torrid 時(shí)間: 2025-3-26 14:37 作者: biopsy 時(shí)間: 2025-3-26 17:39
Success of Default Logic,Ray Reiter’s . was published almost twenty years ago, but it is widely used today by researchers in knowledge representation, commonsense reasoning and logic programming. This note is a collection of random comments on aspects of this success story.作者: 說明 時(shí)間: 2025-3-26 23:56
Computing Domain Specific Information, force in the area of reasoning about actions. Ray and his collaborators have succeeded in providing a unifying formalism covering a wide range of complex issues. Much of this work, done within the framework of the situation calculus is nicely explained in Ray’s book on the subject [Rei99].作者: 潰爛 時(shí)間: 2025-3-27 02:47
Philosophical and Scientific Presuppositions of Logical AI, excluding the possibility of AI. Likewise work on Al is not neutral with regard to philosophical issues. This chapter presents what we consider the presuppositions of logical AI and also some scientific presuppositions, i.e. some results of science that are relevant. We emphasize the relation to AI rather than philosophy itself..作者: 香料 時(shí)間: 2025-3-27 06:43 作者: 反叛者 時(shí)間: 2025-3-27 11:27
Action, Time and Default,talk and see how compatible our views are on the subject. We also have a common religious (this also means a certain kind of logic) background which affects one’s scientific approach (I can only speak for myself here). So here is how I see things!作者: brother 時(shí)間: 2025-3-27 15:10
Hector J. Levesque,Fiora PirriState of the art of the most significant research in the logical foundations for both reasoning about action and commonsense reasoning of intelligent agents作者: 壓倒 時(shí)間: 2025-3-27 20:38
Artificial Intelligencehttp://image.papertrans.cn/l/image/588138.jpg作者: 歸功于 時(shí)間: 2025-3-28 01:08
978-3-642-64306-4Springer-Verlag Berlin Heidelberg 1999作者: 盟軍 時(shí)間: 2025-3-28 03:02 作者: saphenous-vein 時(shí)間: 2025-3-28 09:56 作者: cacophony 時(shí)間: 2025-3-28 13:49
Action Inventory for a Knowledge-Based Colloquium Agent. Preliminary Version,he “ world” of researchers in a specific area, and it should infer what operations need to be performed in the hierarchical structure containing the colloquium’s information base. The article proposes that this would be a useful test domain for the situation calculus and GOLOG, as well as for other approaches to reasoning about actions and change.作者: 匯總 時(shí)間: 2025-3-28 16:33 作者: 機(jī)密 時(shí)間: 2025-3-28 19:08 作者: 粗語 時(shí)間: 2025-3-28 23:24
An Incremental Interpreter for High-Level Programs with Sensing,anguage construct, which together allow much more control to be exercised over when actions can be executed. We argue that such a scheme leads to a practical way to deal with large agent programs containing both nondeterminism and sensing.作者: 咽下 時(shí)間: 2025-3-29 06:28 作者: miracle 時(shí)間: 2025-3-29 10:49 作者: 審問,審訊 時(shí)間: 2025-3-29 14:13 作者: Definitive 時(shí)間: 2025-3-29 16:01
Fixpoint 3-valued semantics for autoepistemic logic,grams our least fixpoint semantics expresses both well-founded semantics and 3-valued Fitting-Kunen semantics (depending on the embedding used). We show that, computationally, our semantics is simpler than the semantics proposed by Moore (assuming that the polynomial hierarchy does not collapse).作者: Mirage 時(shí)間: 2025-3-29 20:57 作者: 施加 時(shí)間: 2025-3-30 03:36
nt to encode retrieved knowledge regardless of the dialogue context, which probably leads to the introduction of irrelevant information. In this paper, we propose a dialogue generation model named CKFS-DG, which filters out context-irrelevant and off-topic knowledge to reduce the influence of redund作者: gregarious 時(shí)間: 2025-3-30 06:51
Richard Rosembergatasets often contain numerous redundant or irrelevant features, significantly impacting downstream tasks in multi-label learning. Therefore, multi-label feature selection, an effective dimensionality reduction method, has attracted the attention of many researchers. Nevertheless, existing multi-lab作者: 匍匐前進(jìn) 時(shí)間: 2025-3-30 11:24 作者: 無價(jià)值 時(shí)間: 2025-3-30 13:45 作者: Employee 時(shí)間: 2025-3-30 17:17
Leopoldo Bertossi,Javier Pinto,Ricardo Valdiviaoth network topology and attribute information, have been designed to detect the community partitions of networks. However, existing approaches cannot work effectively for networks whose community structure does not match well with the ground-truth, or networks whose topological information contains作者: arabesque 時(shí)間: 2025-3-30 21:42 作者: AUGUR 時(shí)間: 2025-3-31 04:00
John McCarthyn system, the available information is further enriched. In the case, user’s click or purchase behavior could be a visual representation of his or her interest. Due to the rapid update of products, users’ interests are not static, but change over time. In order to cope with the users’ interest chang作者: invulnerable 時(shí)間: 2025-3-31 05:18 作者: Lice692 時(shí)間: 2025-3-31 09:59 作者: 嘲笑 時(shí)間: 2025-3-31 15:27 作者: 雄偉 時(shí)間: 2025-3-31 17:31
Marc Denecker,V. Wiktor Marek,Miros?aw Truszczyński conduct supervised training in some small labeled datasets, so directly deploying these trained models to the real-world large camera networks may lead to a poor performance due to underfitting. The significant difference between the source training dataset and the target testing dataset makes it c作者: 云狀 時(shí)間: 2025-3-31 22:18 作者: PRE 時(shí)間: 2025-4-1 05:27 作者: 輕信 時(shí)間: 2025-4-1 07:48
Sheila A. Mcllraithproposed and focus on topological structure alone. In addition to topology, node contents exist in real-world networks, and may help for community detection. Recently, some studies try to combine topological structure and node contents. However, it is difficult to address an inherent situation in re作者: obligation 時(shí)間: 2025-4-1 10:55 作者: 倔強(qiáng)一點(diǎn) 時(shí)間: 2025-4-1 15:03
Yves Lespérance,Kenneth Tam,Michael JenkinNatural Language Processing (NLP) tasks. However, these models yield an unsatisfactory results in domain scenarios, particularly in specialized fields like biomedical contexts, where they cannot amass sufficient semantics of domain terms. To tackle this problem, we present a semantic learning method作者: Afflict 時(shí)間: 2025-4-1 20:51 作者: 遺留之物 時(shí)間: 2025-4-2 02:06
Fangzhen Lin methods focus on single-type item recommendations and offer limited explainability of their recommendations. In this paper, we propose a novel framework knowledge graph transformer network (KGTN) for explainable multiple types of item recommendation, which aims to recommend items with different for
