اللغة:
שפה נוכחית
سجل الدخول باستخدام غوغل
تسجيل الدخول باستخدام فاسيبوك
Modeling language, cognition and action [electronic resource]
لتكبير النص لتصغير النص- كتاب
This volume collects together peer reviewed versions of most of the papers presented at the Ninth Neural Computation and Psychology Workshop (NCPW9), held in 2004 at the University of Plymouth (England). The conference invited submissions on neural computation models of all cognitive and psychological processes. The special theme of this year's workshop was "Modeling of Language, Cognition and Action. This topic had the aim to extend the conference appeal from the connectionist psychology community to leaders in neuroscience, robotics and cognitive systems design.The chapters cover the breadth
| العنوان |
Modeling language, cognition and action [electronic resource] : proceedings of the ninth Neural Computation and Psychology Workshop, University of Plymouth, UK, 8-10 September 2004 / editors, Angelo Cangelosi, Guido Bugmann, Roman Borisyuk. |
|---|---|
| الناشر |
Hackensack, N.J. : World Scientific |
| تاريخ الإصدار |
c2005 |
| ملاحظات |
Description based upon print version of record. Includes bibliographical references and index. English |
| رقم الرف |
Preface List or Reviewers Contents Introduction Modeling Language, Cognition and Action: From Connectionist Simulations to Embodied Neural Cognitive Systems Angelo Cangelosi 1. Integrating Language, Cognition and Action in Neural Computation Models 2. Neural Cognitive Systems Modeling 3. Overview of the Book Language, Perception and Action Categorization and Language Language Processing Cooperation and Communication Motor Representation and Cognition Attention and Perception Cognitive Processing and Control Face Processing and Classification Developmental Processes Neural Network MethodologyFuture Challenges: Thinking and Reasoning References Lessons from the Embodiment of Language: Why Simulating Human Language Comprehension is Hard Arthur M. Glenberg 1. Embodied language comprehension 1.1. Overview 1.2. The Indexical Hypothesis of embodied language comprehension 2. Lesson 1: language, perception, and action 2.1 Language and action 2.2 Language and perception 2.3 Language, perception, action and syntax 2.4 Lessons for modeling language comprehension 3.0 Lesson 2: Novel situations and novel language 3.1 Comprehension of language about novel situations.3.2 Comprehension of linguistic innovations 3.3 Lessons for modeling language comprehension 4. Lesson 3: Language about abstract ideas is concretely embodied 4.1 Embodiment of language implying emotional states. 4.2 Lessons for modeling language comprehension 5. Two, quasi-formal arguments 5.1 An argument against exclusive use of fwed semantic features 5.2 An argument against exclusive use of frequency-based constraints 6. Challenges for models given the realities of embodiment 6.1 Why are so many types of theories inadequate? 6.2 What is the solution?Acknowledgments Associative Neural Models for Biomimetic Multi-Modal Learning in a Mirror Neuron-Based Robot Stefan Wermter, Cornelius Weber and Mark Elshaw 1. Introduction 2. Associator model for object localization 3. Associator architecture for robot docking 4. Associator architecture for multimodal integration 6. Discussion 7. Conclusion Acknowledgement Grounding Language in Perception: A Connectionist Model of Spatial Terms and Vague Quantifiers Angelo Cangelosi, Kenny R. Coventry, Rohana Rajapakse, Dan Joyce, Alison Bacon, Lynn Richards and Steven N. Newstead1. Introduction 2. The Computational Model 3. Simulation and Results 3.1.Experimental Data and Training of the Network 3.2.Results 4. Discussions and Future Work Acknowledgments Structured Connectionist Models of Language, Cognition and Action Nancy Chang, Jerome Feldman and Srini Narayanan 2. Evidence for simulation in language understanding 3. Embodied Construction Grammar |
| سلسلة |
Progress in neural processing v16 |
| الشكل |
1 online resource (439 p.) |
| اللغة |
الانكليزية |
| رقم النظام |
997010710720805171 |
MARC RECORDS
أتعرفون المزيد عن هذا العنصر؟ وجدتم خطأ ما؟
