Monkeys reason about perceptions
- they recognize that perception leads to knowledge
No evidence that monkeys represent false beliefs
- similar pattern of findings in other nonhuman primates (chimpanzees)
Infants can use not only an actor’s previous actions
and emotional expressions but also her words to
reason about her goals and actions
– By 12 months, infants expect a change in word to
signal a change in goal object
– By 10 months, infants possess some sensitivity to
verbal information, but they need more exposure &
have difficulty forming new expectations.
Spatial Dual-path Model
- Object-based pointers and visual heuristics support meaning
- Infant physical/social cognition (e.g., old-goals have approach information)
- Thematic relations (e.g., caused motion = approach + separation)
- Language uses these spatial mechanisms and representations
- Eyes move when we understand language (e.g., eye tracking in the visual world)
- Spatial biases and errors in development (e.g. FROM passives)
- Powerful generalization abilities have been used to argue for innate language knowledge
- Critics have argued that domain-general statistical learning can explain language abilities
- Language evolved on top of preexisting visual/spatial mechanisms
Predictive learning of sensorimotor information is hypothesized to be the underlying mechanism that drives cognitive development. As infants learn to minimize the prediction error between their sensory feedback and predictions, they develop various cognitive abilities sequentially through two processes:
1) Learning the relationship between their actions and sensory consequences to develop self-other cognition and goal-directed action.
2) Producing imitative actions in response to others' actions, which allows for the development of imitation, altruistic behavior, and social cognition.
This hypothesis is supported by computational models that show how predictive learning can account for the emergence of skills like self-other discrimination, mirror neuron systems, imitation, and hierarchical representations of goal-directed action in infants
- social cognition
- Previous work I: study of perspective-taking
- Previous work II: study of social interaction in episodic memory
- Proposal: study of empathy between child and parents
Infants can use not only an actor’s previous actions
and emotional expressions but also her words to
reason about her goals and actions
– By 12 months, infants expect a change in word to
signal a change in goal object
– By 10 months, infants possess some sensitivity to
verbal information, but they need more exposure &
have difficulty forming new expectations.
Spatial Dual-path Model
- Object-based pointers and visual heuristics support meaning
- Infant physical/social cognition (e.g., old-goals have approach information)
- Thematic relations (e.g., caused motion = approach + separation)
- Language uses these spatial mechanisms and representations
- Eyes move when we understand language (e.g., eye tracking in the visual world)
- Spatial biases and errors in development (e.g. FROM passives)
- Powerful generalization abilities have been used to argue for innate language knowledge
- Critics have argued that domain-general statistical learning can explain language abilities
- Language evolved on top of preexisting visual/spatial mechanisms
Predictive learning of sensorimotor information is hypothesized to be the underlying mechanism that drives cognitive development. As infants learn to minimize the prediction error between their sensory feedback and predictions, they develop various cognitive abilities sequentially through two processes:
1) Learning the relationship between their actions and sensory consequences to develop self-other cognition and goal-directed action.
2) Producing imitative actions in response to others' actions, which allows for the development of imitation, altruistic behavior, and social cognition.
This hypothesis is supported by computational models that show how predictive learning can account for the emergence of skills like self-other discrimination, mirror neuron systems, imitation, and hierarchical representations of goal-directed action in infants
- social cognition
- Previous work I: study of perspective-taking
- Previous work II: study of social interaction in episodic memory
- Proposal: study of empathy between child and parents
Syllable-level regularities
• learned with limited, or no orthography
• learned from variable context (33% filler items)
• spontaneously transferred to new word positions
Co-occurrence regularities
• no evidence for tracking by children/infants
Word-recognition task
• can be used with 5-year-olds
• results converge with headturn preference results
• permits multiple comparisons
• repeating vs novel
• same vs different
深層学習以降のAI研究の流れの中で、特に、基盤モデルにおけるchain of thought promptingやfactual groundingに焦点を当て、基盤モデルが論理的推論などの意識レベルの処理を学習したと言えるかについて考察する。
時間が許せば、深層学習によるpostdictionの可能性等についても論じる。
This document discusses studies on human-robot interaction conducted by Michio Okada at Toyohashi University of Technology. Okada's research focuses on interaction science, cognitive science for communication, and designing social robots to explore new symbiotic relationships between humans and robots. He utilizes various robots as research tools to clarify aspects of human communication and interaction. Okada also studies how to design robots with imperfections or weaknesses in a way that allows them to achieve goals through assistance from human partners in a cooperative manner. This can help bring out kindness in humans and strengthen relationships. He argues for reconsidering how technology impacts well-being and focusing more on autonomy, competence and relatedness in human-robot relationships.
A characteristic of information processing performed by humans is that it consists of both System 1 that performs fast automatic processing and System 2 that performs slow conscious processing. In this lecture, I will introduce computational models for A) natural language understanding/generation and B) understanding the state of mind from the perspective of Systems 1 and 2, providing an opportunity to think about what intelligence is.
(The lecture is given in Japanese, but most slides are written in English.)
人が行う情報処理の特徴は、自動的な速い処理を行う System 1 と意識的な遅い処理を行う System 2 の両方で成り立っていることである。本講義では、A)自然言語理解/生成、B)心の状態の理解―それぞれの計算モデルをSystem 1, System 2の観点から紹介し、知能とは何かを考えるきっかけを提供する。
(講義は日本語で行いますが、主要なスライドは英語で書かれています。)
The document is from KDDI Research, Inc. and discusses research conducted over 4 days. The research involved fieldwork and observations on the first day, followed by analysis and synthesis on the second day. Prototypes were created, with the goal of presenting findings on the third day. Various topics are discussed including the changing times, video reviews, reading ability, and future directions for research. Copyright ownership is asserted at the bottom of each page.
Expressing and understanding dialogue act: Is it an explicit or an implicit process?
It must be implicit because:
- The age of acquisition
- Reaction time
Additional evidence
- People tend to give postdictive explanations that are not always correct for what they did.
Syllable-level regularities
• learned with limited, or no orthography
• learned from variable context (33% filler items)
• spontaneously transferred to new word positions
Co-occurrence regularities
• no evidence for tracking by children/infants
Word-recognition task
• can be used with 5-year-olds
• results converge with headturn preference results
• permits multiple comparisons
• repeating vs novel
• same vs different
深層学習以降のAI研究の流れの中で、特に、基盤モデルにおけるchain of thought promptingやfactual groundingに焦点を当て、基盤モデルが論理的推論などの意識レベルの処理を学習したと言えるかについて考察する。
時間が許せば、深層学習によるpostdictionの可能性等についても論じる。
This document discusses studies on human-robot interaction conducted by Michio Okada at Toyohashi University of Technology. Okada's research focuses on interaction science, cognitive science for communication, and designing social robots to explore new symbiotic relationships between humans and robots. He utilizes various robots as research tools to clarify aspects of human communication and interaction. Okada also studies how to design robots with imperfections or weaknesses in a way that allows them to achieve goals through assistance from human partners in a cooperative manner. This can help bring out kindness in humans and strengthen relationships. He argues for reconsidering how technology impacts well-being and focusing more on autonomy, competence and relatedness in human-robot relationships.
A characteristic of information processing performed by humans is that it consists of both System 1 that performs fast automatic processing and System 2 that performs slow conscious processing. In this lecture, I will introduce computational models for A) natural language understanding/generation and B) understanding the state of mind from the perspective of Systems 1 and 2, providing an opportunity to think about what intelligence is.
(The lecture is given in Japanese, but most slides are written in English.)
人が行う情報処理の特徴は、自動的な速い処理を行う System 1 と意識的な遅い処理を行う System 2 の両方で成り立っていることである。本講義では、A)自然言語理解/生成、B)心の状態の理解―それぞれの計算モデルをSystem 1, System 2の観点から紹介し、知能とは何かを考えるきっかけを提供する。
(講義は日本語で行いますが、主要なスライドは英語で書かれています。)
The document is from KDDI Research, Inc. and discusses research conducted over 4 days. The research involved fieldwork and observations on the first day, followed by analysis and synthesis on the second day. Prototypes were created, with the goal of presenting findings on the third day. Various topics are discussed including the changing times, video reviews, reading ability, and future directions for research. Copyright ownership is asserted at the bottom of each page.
Expressing and understanding dialogue act: Is it an explicit or an implicit process?
It must be implicit because:
- The age of acquisition
- Reaction time
Additional evidence
- People tend to give postdictive explanations that are not always correct for what they did.
Anti-Universe And Emergent Gravity and the Dark UniverseSérgio Sacani
Recent theoretical progress indicates that spacetime and gravity emerge together from the entanglement structure of an underlying microscopic theory. These ideas are best understood in Anti-de Sitter space, where they rely on the area law for entanglement entropy. The extension to de Sitter space requires taking into account the entropy and temperature associated with the cosmological horizon. Using insights from string theory, black hole physics and quantum information theory we argue that the positive dark energy leads to a thermal volume law contribution to the entropy that overtakes the area law precisely at the cosmological horizon. Due to the competition between area and volume law entanglement the microscopic de Sitter states do not thermalise at sub-Hubble scales: they exhibit memory effects in the form of an entropy displacement caused by matter. The emergent laws of gravity contain an additional ‘dark’ gravitational force describing the ‘elastic’ response due to the entropy displacement. We derive an estimate of the strength of this extra force in terms of the baryonic mass, Newton’s constant and the Hubble acceleration scale a0 = cH0, and provide evidence for the fact that this additional ‘dark gravity force’ explains the observed phenomena in galaxies and clusters currently attributed to dark matter.
Mechanisms and Applications of Antiviral Neutralizing Antibodies - Creative B...Creative-Biolabs
Neutralizing antibodies, pivotal in immune defense, specifically bind and inhibit viral pathogens, thereby playing a crucial role in protecting against and mitigating infectious diseases. In this slide, we will introduce what antibodies and neutralizing antibodies are, the production and regulation of neutralizing antibodies, their mechanisms of action, classification and applications, as well as the challenges they face.
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...Sérgio Sacani
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
CLASS 12th CHEMISTRY SOLID STATE ppt (Animated)eitps1506
Description:
Dive into the fascinating realm of solid-state physics with our meticulously crafted online PowerPoint presentation. This immersive educational resource offers a comprehensive exploration of the fundamental concepts, theories, and applications within the realm of solid-state physics.
From crystalline structures to semiconductor devices, this presentation delves into the intricate principles governing the behavior of solids, providing clear explanations and illustrative examples to enhance understanding. Whether you're a student delving into the subject for the first time or a seasoned researcher seeking to deepen your knowledge, our presentation offers valuable insights and in-depth analyses to cater to various levels of expertise.
Key topics covered include:
Crystal Structures: Unravel the mysteries of crystalline arrangements and their significance in determining material properties.
Band Theory: Explore the electronic band structure of solids and understand how it influences their conductive properties.
Semiconductor Physics: Delve into the behavior of semiconductors, including doping, carrier transport, and device applications.
Magnetic Properties: Investigate the magnetic behavior of solids, including ferromagnetism, antiferromagnetism, and ferrimagnetism.
Optical Properties: Examine the interaction of light with solids, including absorption, reflection, and transmission phenomena.
With visually engaging slides, informative content, and interactive elements, our online PowerPoint presentation serves as a valuable resource for students, educators, and enthusiasts alike, facilitating a deeper understanding of the captivating world of solid-state physics. Explore the intricacies of solid-state materials and unlock the secrets behind their remarkable properties with our comprehensive presentation.
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...Sérgio Sacani
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
�
)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
�
cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
�
) with
Λ
CDM. Therefore unlike low-
�
Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
�
truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptxshubhijain836
Centrifugation is a powerful technique used in laboratories to separate components of a heterogeneous mixture based on their density. This process utilizes centrifugal force to rapidly spin samples, causing denser particles to migrate outward more quickly than lighter ones. As a result, distinct layers form within the sample tube, allowing for easy isolation and purification of target substances.
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
PPT on Sustainable Land Management presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...Sérgio Sacani
Wereport the study of a huge optical intraday flare on 2021 November 12 at 2 a.m. UT in the blazar OJ287. In the binary black hole model, it is associated with an impact of the secondary black hole on the accretion disk of the primary. Our multifrequency observing campaign was set up to search for such a signature of the impact based on a prediction made 8 yr earlier. The first I-band results of the flare have already been reported by Kishore et al. (2024). Here we combine these data with our monitoring in the R-band. There is a big change in the R–I spectral index by 1.0 ±0.1 between the normal background and the flare, suggesting a new component of radiation. The polarization variation during the rise of the flare suggests the same. The limits on the source size place it most reasonably in the jet of the secondary BH. We then ask why we have not seen this phenomenon before. We show that OJ287 was never before observed with sufficient sensitivity on the night when the flare should have happened according to the binary model. We also study the probability that this flare is just an oversized example of intraday variability using the Krakow data set of intense monitoring between 2015 and 2023. We find that the occurrence of a flare of this size and rapidity is unlikely. In machine-readable Tables 1 and 2, we give the full orbit-linked historical light curve of OJ287 as well as the dense monitoring sample of Krakow.
Signatures of wave erosion in Titan’s coastsSérgio Sacani
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
Mental state representation: insights from non-human primates, Alia Martin
1. Mental state representation
insights from non-human primates
Alia Martin
Harvard University
Lecturer, Victoria University of Wellington, New Zealand (2016)
47. Automatic Beliefs in Monkeys?
Monkey TRUE BELIEF
Human TRUE BELIEF
Monkey FALSE BELIEF
Human FALSE BELIEF
TEST
Monkey TRUE BELIEF
Human FALSE BELIEF
Monkey FALSE BELIEF
Human TRUE BELIEF
49. Conclusion
Monkeys reason about perceptions
- they recognize that perception leads to
knowledge
No evidence that monkeys
represent false beliefs
- similar findings in other nonhuman
primates (e.g., chimpanzees)
50. Conclusion
Monkeys reason about perceptions
- they recognize that perception leads to
knowledge
No evidence that monkeys
represent false beliefs
- similar findings in other nonhuman
primates (e.g., chimpanzees)
51. Conclusion
Monkeys reason about perceptions
- they recognize that perception leads to
knowledge
No evidence that monkeys
represent false beliefs
- similar findings in other nonhuman
primates (e.g., chimpanzees)
52. Conclusion
Monkeys reason about perceptions
- they recognize that perception leads to
knowledge
No evidence that monkeys
represent false beliefs
- similar pattern of findings in other
nonhuman primates (chimpanzees)