The eighth International Conference on Brain Inspired Cognitive Systems (BICS 2016) will be held on November 28-30, in Beijing, China, as a sequel of BICS 2004 - 2015. This year's event is with a highlignt in memorial of the centenary of the birth of Herbert Simon. The first BICS 2004 was held in Stirling, Scotland, UK and the last BICS 2015 was held in Hefei, Anhui, China, December 11-13, 2015 (BICS 2015). The aim of BICS 2016 is to provide a high-level international forum for scientists, engineers, and educators to present state-of-the-art brain inspired cognitive systems research and applications in diverse fields. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular and timely topics.

 

In Memorial of the Centenary of the Birth of Herbert Simon

 

Herbert Alexander Simon (June 15, 1916 – February 9, 2001), a Nobel Prize laureate, an ACM's Turing Award winner, was among the founding fathers of several of today's important scientific domains, including artificial intelligence, information processing, decision-making, problem-solving, organization theory, complex systems, and computer simulation of scientific discovery. His research ranged across the fields of cognitive psychology, cognitive science, computer science, public administration, economics, management, philosophy of science, sociology, and political science, unified by studies of decision-making.

---- Wikipedia

 

Keynote Talks

    

Yulin Qin (Professor, Shanghai Jiaotong University, China)

Herbert Simon Memorial Talk : Herbert Simon’s legacy, cognitive architecture and brain-inspired computational modeling

This year marks the centenary of the birth of Herbert Simon (June 15, 1916 – February 9, 2001), and the sixty anniversary of the birth of artificial intelligence (AI). Herbert Simon was a Renaissance man in the 20th century. Although many great creations that Herbert Simon and Allen Newell made in the early age of AI, such as Logic Theoriest (LT) and general problem solver (GPS), are history now, Simon left us rich legacy, including bounded rationality and heuristic search. The basic principles of information processing in the brain was one of his interested fields. Cognitive architecture such as ACT-R (Adaptive control of thought – rational) by John Anderson is along this line. ACT-R is an integrated theory of mind as well as a computational platform for modeling human thinking and behavior. Advances in the research of ACT-R may suggest an approach of the combination of bottom-up and top-down in brain-inspired computational modeling.

 

 

Yingxu Wang (Professor, University of Calgary, Canada)

Title: Brain-Inspired Deep Learning and Cognitive Learning Systems

The taxonomy of learning may be classified into six categories known as object identification, cluster classification, pattern recognition, functional regression, behavior generation, and knowledge acquisition. A challenge to neural networks is in the sixth category of machine learning for knowledge acquisition. It leads to a fundamental question why two-layer (classic) or multi-layer (deep) weighted-sum neural networks are not a general solution to arbitrary multi-variable nonlinear learning problems. The answer is that weighted sums are merely numerical integrations resulting in a pure number rather than a fitting for arbitrary curves generally determined by polynomials. Since machine knowledge learning is too complicated to be done by neural networks at the nerves level, the brain adopts semantic knowledge bases in LTM and inference threads in STM for knowledge learning. Latest findings in my lab indicate that cognitive knowledge learning is deeply dependent on precise concept representations and a Cognitive Knowledge Bases (CKB | (C)SM) where (C)SM is a registered service mark. The former are rigorously manipulated by concept algebra in machine understandable forms, while the latter are machine-built formal knowledge bases. These basic studies lead to a novel Cognitive Learning Engine (CLE | (C)SM) that is an autonomous machine learning kernel for cognitive knowledge learning powered by denotational mathematics.

 
 

 

Huajin Tang (Professor,Sichuan University, China)

Title: Neuromorphic Cognitive Computing: A Convergent Approach to Brainy Computers

Neuromorphic cognitive computing is a new theme of computing technology that aims for brain-like computing efficiency and intelligence, through mimicking the computational substrates and information processing found in the brain. This talk will introduce the major concepts and developments in this interdisciplinary area, and discuss the major challenges and problems facing this field. This talk will focus on some recent research progresses, including spike based learning, sensory processing, and recent progress in building robotic brain from neuroscience theories.

   

 

Proceedings Information

BICS 2016 proceeding is available with this link, as a volumn in Springer LNAI series. Selected papers will be published in a special issue of Cognitive Computation Journal. The Proceeding has been published as LNAI 10023, and will be freely online accessible for 4 weeks (from 21-Nov to 19-Dez-2016).

 

BICS 2016 Program

The detailed program of BICS 2016 is available HERE.

 

Conference Venue

The conference will be held in Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China. Beijing is the capital and one of the largest cities in China. Beijing-Capital International Airport provides scheduled passenger service to major airports in China and international cities as well. Beijing plays an important role in scientific research in China. We would be delighted to welcome you to Beijing in November.

Note: All the invited talks and oral sessions will be held at the 1st meeting room, 3rd floor, Intelligence Building, at Institute of Automation, Chinese Academy of Sciences.

Address: No. 95, Zhong Guan Cun East Road, Beijing, 100190  Map: Click Here

For more details, please visit the Venue page.

 

The topics of interest include, but not limited to

Biologically Inspired Systems (BICS-BIS):
  • Brain inspired systems
  • Brain inspired vision
  • Brain inspired audition and sound processing
  • Brain inspired other sensory modalities
  • Brain inspired motion processing
  • Brain inspired robotics
  • Brain inspired adaptive and control systems
  • Brain inspired evolutionary systems
  • Brain inspired oscillatory systems
  • Brain inspired signal processing
  • Brain inspired learning
  • Neuromorphic systems
  • Others
Cognitive Neuroscience (BICS-CNS):
  • Cognitive neuroscience
  • Cognitive neuroscience of vision
  • Cognitive neuroscience of non-vision sensory modalities
  • Cognitive neuroscience of volition
  • Systems neuroscience
  • Attentional mechanisms
  • Affective systems
  • Language
  • Cortical models
  • Sub-cortical models
  • Cerebellar models
  • Neural correlates
  • Others
Models of Consciousness (BICS-MoC):
  • World awareness
  • Self-awareness
  • Global workspace theory
  • Imagination
  • Qualia models
  • Virtual machine approaches
  • Formal models fo consciousness
  • Control theoretical models
  • Developmental/Infant models
  • Will and volition
  • Emotion and affect
  • Philosophical implications
  • Neurophysiological grounding
  • Enactive approaches
  • Heterophenomenology
  • Analyitic/Synthetic phenomenology
  • Others
Neural Computation (BICS-NC):
  • Neuro-computational systems
  • Hybrid neural systems
  • Neural learning
  • Neural control systems
  • Neural signal processing
  • Architectures of neural computation
  • Neural devices
  • Neural perception and pattern classifiers
  • Neuro-fuzzy systems
  • Evolutionary neural networks
  • Biological neural network models
  • Applications
  • Others





Important Dates


Paper submission:June 10, 2016 Final Extension to July 15, 2016 (Abstract Submission: July 5th, 2016)

Please note that abstract submission is required before the full paper submission. Submissions after July 5th will be open only to authors with submitted abstracts.


For Submission, please visit page Paper Submission


Acceptance notification:August 10, 2016 August 25, 2016

Camera-ready due:September 10th, 2016 September 15, 2016

Conference dates:November 28-30, 2016

Registration Details and Deadline



 



Contact Details

email: bics2016@ia.ac.cn


Conference Sponsors

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