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2020 – today
- 2020
[j19]Aaron Sloman
:
Varieties Of Evolved Forms Of Consciousness, Including Mathematical Consciousness. Entropy 22(6): 615 (2020)- [j18]Dagmar Monett, Colin W. P. Lewis, Kristinn R. Thórisson, Joscha Bach, Gianluca Baldassarre, Giovanni Granato, Istvan S. N. Berkeley, François Chollet, Matthew Crosby, Henry Shevlin, John F. Sowa, John E. Laird, Shane Legg, Peter Lindes, Tomás Mikolov, William J. Rapaport, Raúl Rojas, Marek Rosa, Peter Stone, Richard S. Sutton, Roman V. Yampolskiy, Pei Wang, Roger C. Schank, Aaron Sloman, Alan F. T. Winfield:
Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response. J. Artif. Gen. Intell. 11(2): 1-100 (2020)
2010 – 2019
- 2019
- [j17]Lars Kunze, Aaron Sloman:
A Philosophically Motivated View on AI and Robotics - Interview with Aaron Sloman, Honorary Professor of Artificial Intelligence and Cognitive Science, University of Birmingham, United Kingdom. Künstliche Intell. 33(4): 429-445 (2019) - 2018
- [j16]Aaron Sloman:
Can Digital Computers Support Ancient Mathematical Consciousness? Inf. 9(5): 111 (2018) - [c39]Aaron Sloman:
Were "Super-Turing" Diagrammatic Reasoning Mechanisms Ancient Products of Biological Evolution? Diagrams 2018: 15-19 - [c38]Aaron Sloman:
What Sort of Information-Processing Machinery Could Ancient Geometers Have Used? Diagrams 2018: 164-171 - 2017
- [c37]Aaron Sloman:
Huge, but Unnoticed, Gaps Between Current AI and Natural Intelligence. PT-AI 2017: 92-105 - [p10]Aaron Sloman:
Construction Kits for Biological Evolution. The Incomputable 2017: 237-292 - 2016
- [c36]Ron Chrisley, Aaron Sloman:
Architectural Requirements for Consciousness. EUCognition 2016: 31-36 - [c35]Aaron Sloman:
Natural Vision and Mathematics: Seeing Impossibilities. Bridging@IJCAI 2016: 86-101 - 2014
- [j15]Aaron Sloman:
Biological, computational and robotic connections with Kant's theory of mathematical knowledge. AI Commun. 27(1): 53-62 (2014) - [c34]Aaron Sloman:
How Can We Reduce the Gulf between Artificial and Natural Intelligence? AIC 2014: 1-13 - 2011
- [p9]Aaron Sloman:
Varieties of Metacognition in Natural and Artificial Systems. Metareasoning 2011: 307-322 - 2010
- [c33]Aaron Sloman:
How Virtual Machinery Can Bridge the "Explanatory Gap", in Natural and Artificial Systems. SAB 2010: 13-24 - [p8]Henrik I. Christensen, Aaron Sloman, Geert-Jan M. Kruijff, Jeremy L. Wyatt:
Cognitive Systems Introduction. Cognitive Systems 2010: 3-48 - [p7]Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Henrik Jacobsson, Richard Dearden, Aaron Sloman, Geert-Jan M. Kruijff:
Architecture and Representations. Cognitive Systems 2010: 51-93 - [p6]Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Marek Sewer Kopicki, Somboon Hongeng, Ian Calvert, Aaron Sloman, Geert-Jan M. Kruijff, Henrik Jacobsson, Michael Brenner, Danijel Skocaj, Alen Vrecko, Nikodem Majer, Michael Zillich:
The PlayMate System. Cognitive Systems 2010: 367-393 - [p5]Aaron Sloman:
Cross-Disciplinary Reflections: Philosophical Robotics. Cognitive Systems 2010: 441-484
2000 – 2009
- 2009
- [j14]Nick Hawes, Jeremy L. Wyatt, Aaron Sloman:
Exploring design space for an integrated intelligent system. Knowl. Based Syst. 22(7): 509-515 (2009) - [p4]Aaron Sloman:
Some Requirements for Human-Like Robots: Why the Recent Over-Emphasis on Embodiment Has Held Up Progress. Creating Brain-Like Intelligence 2009: 248-277 - 2008
- [j13]Aaron Sloman:
The well-designed young mathematician. Artif. Intell. 172(18): 2015-2034 (2008) - [c32]Aaron Sloman:
Kantian Philosophy of Mathematics and Young Robots. AISC/MKM/Calculemus 2008: 558-573 - [c31]Nick Hawes, Jeremy L. Wyatt, Aaron Sloman:
Exploring Design Space For An Integrated Intelligent System. SGAI Conf. 2008: 177-190 - [i1]Aaron Sloman:
Architectural and Representational Requirements for Seeing Processes, Proto-affordances and Affordances. Logic and Probability for Scene Interpretation 2008 - 2007
- [j12]Danny Hillis, John McCarthy, Tom M. Mitchell, Erik T. Mueller, Doug Riecken, Aaron Sloman, Patrick Henry Winston:
In Honor of Marvin Minsky's Contributions on his 80th Birthday. AI Mag. 28(4): 103-110 (2007) - [j11]Jackie Chappell, Aaron Sloman:
Natural and Artificial Meta-Configured Altricial Information-Processing Systems. Int. J. Unconv. Comput. 3(3): 211-239 (2007) - [c30]Nick Hawes, Aaron Sloman, Jeremy L. Wyatt, Michael Zillich, Henrik Jacobsson, Geert-Jan M. Kruijff, Michael Brenner, Gregor Berginc, Danijel Skocaj:
Towards an Integrated Robot with Multiple Cognitive Functions. AAAI 2007: 1548-1553 - [c29]Aaron Sloman:
Why Some Machines May Need Qualia and How They Can Have Them: Including a Demanding New Turing Test for Robot Philosophers. AAAI Fall Symposium: AI and Consciousness 2007: 9-16 - [c28]Aaron Sloman:
Diversity of Developmental Trajectories in Natural and Artificial Intelligence. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development 2007: 70-77 - 2006
- [c27]Aaron Sloman:
How to Put the Pieces of AI Together Again. AAAI 2006 - [c26]Aaron Sloman:
Fundamental Questions. KI 2006: 439-441 - 2005
- [j10]Aaron Sloman, Ronald L. Chrisley:
More things than are dreamt of in your biology: Information-processing in biologically inspired robots. Cogn. Syst. Res. 6(2): 145-174 (2005) - [c25]Aaron Sloman, Jackie Chappell:
The Altricial-Precocial Spectrum for Robots. IJCAI 2005: 1187-1194 - [p3]Aaron Sloman, Ron Chrisley, Matthias Scheutz:
The Architectural Basis of Affective States and Processes. Who Needs Emotions? 2005: 203-244 - 2004
- [j9]Marvin Minsky, Push Singh, Aaron Sloman:
The St. Thomas Common Sense Symposium: Designing Architectures for Human-Level Intelligence. AI Mag. 25(2): 113-124 (2004) - 2003
- [j8]Catriona M. Kennedy, Aaron Sloman:
Autonomous recovery from hostile code insertion using distributed reflection. Cogn. Syst. Res. 4(2): 89-117 (2003) - 2002
- [j7]John McCarthy, Marvin Minsky, Aaron Sloman, Leiguang Gong, Tessa A. Lau, Leora Morgenstern, Erik T. Mueller, Doug Riecken, Moninder Singh, Push Singh:
An architecture of diversity for commonsense reasoning. IBM Syst. J. 41(3) (2002) - [p2]Aaron Sloman:
Diagrams in the Mind? Diagrammatic Representation and Reasoning 2002: 7-28 - 2001
- [c24]Aaron Sloman:
Evolvable Biologically Plausible Visual Architectures. BMVC 2001: 1-10 - 2000
- [c23]Matthias Scheutz, Aaron Sloman, Brian Logan:
Emotional States and Realistic Agent Behaviour. GAME-ON 2000: 81- - [c22]Aaron Sloman:
Interacting Trajectories in Design Space and Niche Space: A Philosopher Speculates About Evolution. PPSN 2000: 3-16
1990 – 1999
- 1999
- [j6]Aaron Sloman:
Review of Affective Computing. AI Mag. 20(1): 127-133 (1999) - [j5]Aaron Sloman, Brian Logan:
Building Cognitively Rich Agents Using the SIM_AGENT Toolkit. Commun. ACM 42(3): 71-77 (1999) - 1998
- [c21]Aaron Sloman, Brian Logan:
Cognition and Affect: Architectures and Tools. Agents 1998: 471-472 - [c20]Aaron Sloman:
The "Semantics" of Evolution: Trajectories and Trade-offs in Design Space and Niche Space. IBERAMIA 1998: 27-38 - [c19]Aaron Sloman:
Damasio, Descartes, alarms and meta-management. SMC 1998: 2652-2657 - 1997
- [c18]Aaron Sloman:
Synthetic Minds. Agents 1997: 534-535 - [c17]Aaron Sloman:
What Sort of Control System Is Able to Have a Personality? Creating Personalities for Synthetic Actors 1997: 166-208 - 1996
- [c16]Aaron Sloman:
Actual Possibilities. KR 1996: 627-638 - 1995
- [c15]Aaron Sloman, Riccardo Poli:
SIM_AGENT: A Toolkit for Exploring Agent Designs. ATAL 1995: 392-407 - [c14]Riccardo Poli, Mark Ryan, Aaron Sloman:
A New Continuous Propositional Logic. EPIA 1995: 17-28 - [c13]Aaron Sloman:
A Philosophical Encounter. IJCAI 1995: 2037-2040 - [c12]Aaron Sloman:
Exploring Design Space and Niche Space. SCAI 1995: 1-8 - 1994
- [c11]Aaron Sloman:
Exploration in Design Space. ECAI 1994: 578-584 - 1992
- [j4]Aaron Sloman:
The Emperor's Real Mind: Review of Roger Penrose'sThe Emperor's New Mind: Concerning Computers, Minds and the Laws of Physics. Artif. Intell. 56(2-3): 355-396 (1992) - 1991
- [j3]Aaron Sloman:
The explanatory role of mental states. Appl. Artif. Intell. 5(2): 109-129 (1991) - 1990
- [p1]Aaron Sloman:
Motives, Mechanisms, and Emotions. The Philosophy of Artificial Intelligence 1990: 231-247
1980 – 1989
- 1989
- [j2]Aaron Sloman:
On designing a visual system (Towards a Gibsonian computational model of vision). J. Exp. Theor. Artif. Intell. 1(4): 289-337 (1989) - 1988
- [c10]Jörg H. Siekmann, Sten-Åke Tärnlund, Aaron Sloman, Andy Clark, Margaret A. Boden:
What is Computation? (Panel Introduction). ECAI 1988: 724 - [c9]Aaron Sloman:
What isn't Computation? (Panel Statement). ECAI 1988: 728-730 - 1986
- [c8]Aaron Sloman:
Reference without Causal Links. ECAI 1986: 191-203 - 1985
- [c7]Aaron Sloman:
What Enables a Machine to Understand? IJCAI 1985: 995-1001 - 1983
- [c6]Aaron Sloman, Drew V. McDermott, William A. Woods, Brian Cantwell Smith, Patrick J. Hayes:
Under What Conditions Can a Machine Attribute Meanings to Symbols. IJCAI 1983: 44-48 - 1981
- [c5]Aaron Sloman, Monica Croucher:
Why Robots Will Have Emotions. IJCAI 1981: 197-202
1970 – 1979
- 1978
- [c4]Aaron Sloman, David Owen, Geoffrey E. Hinton, Frank Birch, Frank O'Gorman:
Representation and Control in Vision. AISB/GI (ECAI) 1978: 309-314 - 1976
- [c3]Aaron Sloman, Steven Hardy:
Giving a Computer Gestalt Experiences. AISB (ECAI) 1976: 242-255 - 1975
- [c2]Aaron Sloman:
Afterthoughts on Analogical Representations. TINLAP 1975: 164-168 - 1971
- [j1]Aaron Sloman:
Interactions Between Philosophy and Srtificial Intelligence: The Role of Intuition and Non-Logical Reasoning in Ontelligence. Artif. Intell. 2(3/4): 209-225 (1971) - [c1]Aaron Sloman:
Interactions Between Philosophy and Artificial Intelligence: The Role of Intuition and Non-Logical Reasoning in Intelligence. IJCAI 1971: 270-278
Coauthor Index
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